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    Wyświetlanie 1-11 z 11
    Tytuł:
    Ten quick tips for deep learning in biology.
    Autorzy:
    Lee BD; In-Q-Tel Labs, Arlington, Virginia, United States of America.; School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, United States of America.; Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America.
    Gitter A; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.; Morgridge Institute for Research, Madison, Wisconsin, United States of America.
    Greene CS; Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.; Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado, United States of America.; Center for Health AI, University of Colorado School of Medicine, Aurora, Colorado, United States of America.
    Raschka S; Department of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
    Maguire F; Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada.
    Titus AJ; University of New Hampshire, Manchester, New Hampshire, United States of America.; Bioeconomy.XYZ, Manchester, New Hampshire, United States of America.
    Kessler MD; Department of Oncology, Johns Hopkins University, Baltimore, Maryland, United States of America.; Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.
    Lee AJ; Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.; Genomics and Computational Biology Graduate Program, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
    Chevrette MG; Wisconsin Institute for Discovery and Department of Plant Pathology, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
    Stewart PA; Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, Florida, United States of America.
    Britto-Borges T; Section of Bioinformatics and Systems Cardiology, Klaus Tschira Institute for Integrative Computational Cardiology, University Hospital Heidelberg, Heidelberg, Germany.; Department of Internal Medicine III (Cardiology, Angiology, and Pneumology), University Hospital Heidelberg, Heidelberg, Germany.
    Cofer EM; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America.; Graduate Program in Quantitative and Computational Biology, Princeton University, Princeton, New Jersey, United States of America.
    Yu KH; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.; Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
    Carmona JJ; Philips Healthcare, Cambridge, Massachusetts, United States of America.
    Fertig EJ; Department of Oncology, Johns Hopkins University, Baltimore, Maryland, United States of America.; Department of Biomedical Engineering, Department of Applied Mathematics and Statistics, Convergence Institute, Johns Hopkins University, Baltimore, Maryland, United States of America.
    Kalinin AA; Medical Big Data Group, Shenzhen Research Institute of Big Data, Shenzhen, China.; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America.
    Signal B; School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, Australia.
    Lengerich BJ; Computer Science Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
    Triche TJ Jr; Center for Epigenetics, Van Andel Research Institute, Grand Rapids, Michigan, United States of America.; Department of Pediatrics, College of Human Medicine, Michigan State University, East Lansing, Michigan, United States of America.; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America.
    Boca SM; Innovation Center for Biomedical Informatics, Georgetown University Medical Center, District of Columbia, United States of America.; Department of Oncology, Georgetown University Medical Center, Washington, DC, United States of America.; Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University Medical Center, Washington, DC, United States of America.; Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Washington, DC, United States of America.
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    Źródło:
    PLoS computational biology [PLoS Comput Biol] 2022 Mar 24; Vol. 18 (3), pp. e1009803. Date of Electronic Publication: 2022 Mar 24 (Print Publication: 2022).
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
    MeSH Terms:
    Deep Learning*
    Computational Biology
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Understanding bias when estimating life expectancy from age at death: a simulation approach applied to Morquio syndrome A.
    Autorzy:
    Yin X; Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University Medical Center, Washington, DC, USA.; Medpace, Cincinnati, OH, USA.
    Ahn J; Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University Medical Center, Washington, DC, USA. .
    Boca SM; Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University Medical Center, Washington, DC, USA. .; Department of Oncology, Georgetown University Medical Center, Washington, DC, USA. .; Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC, USA. .; AstraZeneca, Gaithersburg, MD, USA. .
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    Źródło:
    BMC research notes [BMC Res Notes] 2022 Jan 15; Vol. 15 (1), pp. 19. Date of Electronic Publication: 2022 Jan 15.
    Typ publikacji:
    Journal Article
    MeSH Terms:
    Mucopolysaccharidosis IV*
    Bias ; Cohort Studies ; Humans ; Life Expectancy ; Retrospective Studies
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Discovery of potential urine-accessible metabolite biomarkers associated with muscle disease and corticosteroid response in the mdx mouse model for Duchenne.
    Autorzy:
    Thangarajh M; Department of Neurology, George Washington University School of Medicine and Children's National Health Systems, Washington, D.C., United States of America.
    Zhang A; Department of Genomics and Precision Medicine, George Washington University School of Medicine and Children's National Health Systems, Washington, D.C., United States of America.
    Gill K; Department of Oncology, Georgetown University Medical Center, Washington, D.C., United States of America.
    Ressom HW; Department of Oncology, Georgetown University Medical Center, Washington, D.C., United States of America.
    Li Z; Department of Oncology, Georgetown University Medical Center, Washington, D.C., United States of America.
    Varghese RS; Department of Oncology, Georgetown University Medical Center, Washington, D.C., United States of America.
    Hoffman EP; School of Pharmacy & Pharmaceutical Sciences, Binghamton University, Binghamton, N.Y., United States of America.
    Nagaraju K; School of Pharmacy & Pharmaceutical Sciences, Binghamton University, Binghamton, N.Y., United States of America.
    Hathout Y; School of Pharmacy & Pharmaceutical Sciences, Binghamton University, Binghamton, N.Y., United States of America.
    Boca SM; Department of Oncology, Georgetown University Medical Center, Washington, D.C., United States of America.; Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, D.C., United States of America.; Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University Medical Center, Washington, D.C., United States of America.
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    Źródło:
    PloS one [PLoS One] 2019 Jul 16; Vol. 14 (7), pp. e0219507. Date of Electronic Publication: 2019 Jul 16 (Print Publication: 2019).
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Biomarkers/*urine
    Muscular Dystrophy, Animal/*drug therapy
    Muscular Dystrophy, Animal/*urine
    Prednisolone/*therapeutic use
    Animals ; Biliverdine/urine ; Chromatography, Liquid ; Creatine/urine ; Genotype ; Longitudinal Studies ; Lysine/analogs & derivatives ; Lysine/urine ; Male ; Mass Spectrometry ; Mice ; Mice, Inbred C57BL ; Mice, Inbred mdx ; Muscle, Skeletal/pathology ; Muscular Dystrophy, Duchenne/drug therapy ; Muscular Dystrophy, Duchenne/urine ; Principal Component Analysis
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    Correction: Discovery of Metabolic Biomarkers for Duchenne Muscular Dystrophy within a Natural History Study.
    Autorzy:
    Boca SM
    Nishida M
    Harris M
    Rao S
    Cheema AK
    Gill K
    Wang D
    An L
    Gauba R
    Seol H
    Morgenroth LP
    Henricson E
    McDonald C
    Mah JK
    Clemens PR
    Hoffman EP
    Hathout Y
    Madhavan S
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    Źródło:
    PloS one [PLoS One] 2016 Jul 19; Vol. 11 (7), pp. e0159895. Date of Electronic Publication: 2016 Jul 19 (Print Publication: 2016).
    Typ publikacji:
    Published Erratum
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    A Dynamic Model for the Evolution of Protein Structure.
    Autorzy:
    Tal G; Evolutionary Bioinformatics Laboratory, Department of Crop Sciences, University of Illinois, Urbana, IL, 61801, USA.
    Boca SM; Evolutionary Bioinformatics Laboratory, Department of Crop Sciences, University of Illinois, Urbana, IL, 61801, USA.; Department of Cell and Developmental Biology, University of Illinois, Urbana, IL, 61801, USA.; Department of Mathematics, University of Illinois, Urbana, IL, 61801, USA.; Innovation Center for Biomedical Informatics (ICBI) and Department of Oncology, Georgetown University Medical Center, Washington, DC, 20007, USA.
    Mittenthal J; Department of Cell and Developmental Biology, University of Illinois, Urbana, IL, 61801, USA.
    Caetano-Anollés G; Evolutionary Bioinformatics Laboratory, Department of Crop Sciences, University of Illinois, Urbana, IL, 61801, USA. .
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    Źródło:
    Journal of molecular evolution [J Mol Evol] 2016 May; Vol. 82 (4-5), pp. 230-43. Date of Electronic Publication: 2016 May 05.
    Typ publikacji:
    Journal Article
    MeSH Terms:
    Protein Folding*
    Protein Domains/*genetics
    Protein Structure, Tertiary/*genetics
    Proteome/*genetics
    Archaea/genetics ; Biological Evolution ; Evolution, Molecular ; Genome/genetics ; Models, Molecular ; Phylogeny
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    Discovery of Metabolic Biomarkers for Duchenne Muscular Dystrophy within a Natural History Study.
    Autorzy:
    Boca SM; Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC, United States of America.; Department of Oncology, Georgetown University Medical Center, Washington, DC, United States of America.; Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington, DC, United States of America.
    Nishida M; Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC, United States of America.
    Harris M; Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC, United States of America.
    Rao S; Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC, United States of America.
    Cheema AK; Department of Oncology, Georgetown University Medical Center, Washington, DC, United States of America.; Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC, United States of America.
    Gill K; Department of Oncology, Georgetown University Medical Center, Washington, DC, United States of America.
    Seol H; Children's National Medical Center and the George Washington University, Washington, DC, United States of America.
    Morgenroth LP; Children's National Medical Center and the George Washington University, Washington, DC, United States of America.
    Henricson E; Department of Physical Medicine and Rehabilitation, University of California Davis, School of Medicine, Davis, California, United States of America.
    McDonald C; Department of Physical Medicine and Rehabilitation, University of California Davis, School of Medicine, Davis, California, United States of America.
    Mah JK; Department of Pediatrics, University of Calgary, Alberta Children's Hospital, Calgary, Alberta, Canada.
    Clemens PR; Neurology Service, Department of Veteran Affairs Medical Center, Pittsburgh, Pennsylvania, United States of America.; Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
    Hoffman EP; Children's National Medical Center and the George Washington University, Washington, DC, United States of America.
    Hathout Y; Children's National Medical Center and the George Washington University, Washington, DC, United States of America.
    Madhavan S; Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC, United States of America.; Department of Oncology, Georgetown University Medical Center, Washington, DC, United States of America.
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    Źródło:
    PloS one [PLoS One] 2016 Apr 15; Vol. 11 (4), pp. e0153461. Date of Electronic Publication: 2016 Apr 15 (Print Publication: 2016).
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural
    MeSH Terms:
    Blood Chemical Analysis*/methods
    Biomarkers/*metabolism
    Muscular Dystrophy, Duchenne/*metabolism
    Muscular Dystrophy, Duchenne/*pathology
    Adolescent ; Adult ; Biomarkers/analysis ; Biomarkers/blood ; Case-Control Studies ; Child ; Child, Preschool ; Chromatography, Liquid ; Disease Progression ; Humans ; Male ; Mass Spectrometry ; Muscular Dystrophy, Duchenne/blood ; Young Adult
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    Sources of variability in metabolite measurements from urinary samples.
    Autorzy:
    Xiao Q; Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, United States of America.
    Moore SC; Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, United States of America.
    Boca SM; Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, United States of America.
    Matthews CE; Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, United States of America.
    Rothman N; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, United States of America.
    Stolzenberg-Solomon RZ; Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, United States of America.
    Sinha R; Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, United States of America.
    Cross AJ; Imperial College London, London, United Kingdom.
    Sampson JN; Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, United States of America.
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    Źródło:
    PloS one [PLoS One] 2014 May 01; Vol. 9 (5), pp. e95749. Date of Electronic Publication: 2014 May 01 (Print Publication: 2014).
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural; Research Support, N.I.H., Intramural
    MeSH Terms:
    Metabolomics*/methods
    Metabolomics*/standards
    Urinalysis*/methods
    Urinalysis*/standards
    Adenoma/urine ; Adult ; Aged ; Case-Control Studies ; Chromatography, Liquid/standards ; Colonic Neoplasms/urine ; Female ; Humans ; Male ; Mass Spectrometry/standards ; Middle Aged ; Reproducibility of Results ; Risk Factors
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    Human metabolic correlates of body mass index.
    Autorzy:
    Moore SC; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
    Matthews CE; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
    Sampson JN; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
    Stolzenberg-Solomon RZ; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
    Zheng W; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Institute for Medicine and Public Health, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN.
    Cai Q; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Institute for Medicine and Public Health, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN.
    Tan YT; Shanghai Cancer Institute, Shanghai, China.
    Chow WH; University of Texas MD Anderson Cancer Center, Houston, TX, USA.
    Ji BT; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
    Liu DK; Shanghai Cancer Institute, Shanghai, China.
    Xiao Q; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
    Boca SM; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
    Leitzmann MF; Department of Epidemiology and Preventive Medicine, Regensburg University Medical Center, Franz-Josef-Strauss-Allee 11, 93053 Regensburg, Germany.
    Yang G; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Institute for Medicine and Public Health, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN.
    Xiang YB; Shanghai Cancer Institute, Shanghai, China.
    Sinha R; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
    Shu XO; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Institute for Medicine and Public Health, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN.
    Cross AJ; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
    Pokaż więcej
    Źródło:
    Metabolomics : Official journal of the Metabolomic Society [Metabolomics] 2014 Apr 01; Vol. 10 (2), pp. 259-269.
    Typ publikacji:
    Journal Article
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    A decision-theory approach to interpretable set analysis for high-dimensional data.
    Autorzy:
    Boca SM; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, U.S.A.
    Bravo HC
    Caffo B
    Leek JT
    Parmigiani G
    Pokaż więcej
    Źródło:
    Biometrics [Biometrics] 2013 Sep; Vol. 69 (3), pp. 614-23. Date of Electronic Publication: 2013 Aug 02.
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural; Research Support, N.I.H., Intramural; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Data Interpretation, Statistical*
    Decision Theory*
    Biometry/*methods
    Algorithms ; Bayes Theorem ; Brain/anatomy & histology ; Brain/physiology ; Computer Simulation ; Functional Neuroimaging/statistics & numerical data ; Gene Expression Profiling/statistics & numerical data ; Genomics/statistics & numerical data ; Humans ; Magnetic Resonance Imaging/statistics & numerical data ; Models, Statistical ; Oligonucleotide Array Sequence Analysis/statistics & numerical data
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    The genetic landscape of the childhood cancer medulloblastoma.
    Autorzy:
    Parsons DW; Ludwig Center for Cancer Genetics and Therapeutics and Howard Hughes Medical Institute, Johns Hopkins Kimmel Cancer Center, Baltimore, MD 21231, USA.
    Li M
    Zhang X
    Jones S
    Leary RJ
    Lin JC
    Boca SM
    Carter H
    Samayoa J
    Bettegowda C
    Gallia GL
    Jallo GI
    Binder ZA
    Nikolsky Y
    Hartigan J
    Smith DR
    Gerhard DS
    Fults DW
    VandenBerg S
    Berger MS
    Marie SK
    Shinjo SM
    Clara C
    Phillips PC
    Minturn JE
    Biegel JA
    Judkins AR
    Resnick AC
    Storm PB
    Curran T
    He Y
    Rasheed BA
    Friedman HS
    Keir ST
    McLendon R
    Northcott PA
    Taylor MD
    Burger PC
    Riggins GJ
    Karchin R
    Parmigiani G
    Bigner DD
    Yan H
    Papadopoulos N
    Vogelstein B
    Kinzler KW
    Velculescu VE
    Pokaż więcej
    Źródło:
    Science (New York, N.Y.) [Science] 2011 Jan 28; Vol. 331 (6016), pp. 435-9. Date of Electronic Publication: 2010 Dec 16.
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
    MeSH Terms:
    Genes, Neoplasm*
    Mutation*
    Cerebellar Neoplasms/*genetics
    Medulloblastoma/*genetics
    Adult ; Cerebellar Neoplasms/metabolism ; Child ; DNA Copy Number Variations ; DNA-Binding Proteins/genetics ; DNA-Binding Proteins/metabolism ; Genes, Tumor Suppressor ; Histone-Lysine N-Methyltransferase/genetics ; Histone-Lysine N-Methyltransferase/metabolism ; Histones/metabolism ; Humans ; Medulloblastoma/metabolism ; Methylation ; MicroRNAs/genetics ; Neoplasm Proteins/genetics ; Neoplasm Proteins/metabolism ; Oligonucleotide Array Sequence Analysis ; Point Mutation ; Sequence Analysis, DNA ; Signal Transduction
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    The genomic landscapes of human breast and colorectal cancers.
    Autorzy:
    Wood LD; Ludwig Center for Cancer Genetics and Therapeutics and Howard Hughes Medical Institute at Johns Hopkins Kimmel Cancer Center, Baltimore, MD 21231, USA.
    Parsons DW
    Jones S
    Lin J
    Sjöblom T
    Leary RJ
    Shen D
    Boca SM
    Barber T
    Ptak J
    Silliman N
    Szabo S
    Dezso Z
    Ustyanksky V
    Nikolskaya T
    Nikolsky Y
    Karchin R
    Wilson PA
    Kaminker JS
    Zhang Z
    Croshaw R
    Willis J
    Dawson D
    Shipitsin M
    Willson JK
    Sukumar S
    Polyak K
    Park BH
    Pethiyagoda CL
    Pant PV
    Ballinger DG
    Sparks AB
    Hartigan J
    Smith DR
    Suh E
    Papadopoulos N
    Buckhaults P
    Markowitz SD
    Parmigiani G
    Kinzler KW
    Velculescu VE
    Vogelstein B
    Pokaż więcej
    Źródło:
    Science (New York, N.Y.) [Science] 2007 Nov 16; Vol. 318 (5853), pp. 1108-13. Date of Electronic Publication: 2007 Oct 11.
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
    MeSH Terms:
    Breast Neoplasms/*genetics
    Colorectal Neoplasms/*genetics
    Animals ; Breast Neoplasms/metabolism ; Cell Line ; Chromosome Mapping ; Colorectal Neoplasms/metabolism ; Computational Biology ; DNA, Neoplasm ; Databases, Genetic ; Genes, Neoplasm ; Genome, Human ; Humans ; Metabolic Networks and Pathways/genetics ; Mice ; Mutation ; Neoplasm Proteins/genetics ; Neoplasm Proteins/metabolism ; Sequence Analysis, DNA
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
      Wyświetlanie 1-11 z 11

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