Richard S. Paules mainly investigates Gene expression, Gene expression profiling, DNA damage, Computational biology and Genetics. His work on Microarray analysis techniques as part of general Gene expression research is frequently linked to Enzyme inducer, thereby connecting diverse disciplines of science. Gene expression profiling is frequently linked to Toxicogenomics in his study.
His DNA damage research includes elements of Nuclear export signal, Cell cycle checkpoint, Cyclin-dependent kinase 1, Cyclin B1 and Molecular biology. His Computational biology research incorporates themes from Bioinformatics, Statistics, Mixed model, Statistical power and Two Color Microarray. His Bioinformatics study integrates concerns from other disciplines, such as Reliability, Predictive value of tests and Survival analysis.
His scientific interests lie mostly in Gene expression, Gene expression profiling, Gene, Molecular biology and Toxicogenomics. The various areas that Richard S. Paules examines in his Gene expression study include Acetaminophen, Pharmacology, Immunology, Cell synchronization and Internal medicine. Genetics covers Richard S. Paules research in Gene expression profiling.
His Gene study incorporates themes from Cancer and Computational biology. His Computational biology research focuses on Bioinformatics and how it connects with Reliability. His Molecular biology research also works with subjects such as
His primary scientific interests are in Computational biology, Gene, Transcriptome, Toxicity and Zebrafish. His research integrates issues of In vitro, Cellular differentiation and Cluster analysis in his study of Computational biology. His Gene research is multidisciplinary, incorporating perspectives in High-Throughput Screening Assays and Cell biology.
His Transcriptome research includes themes of Liver injury, Toxicogenomics, Drug and Gene expression profiling. His Gene expression profiling research is multidisciplinary, relying on both Mutation, Regulation of gene expression, Cell growth and Cancer research. Toxicokinetics and Cardiotoxicity is closely connected to Pharmacology in his research, which is encompassed under the umbrella topic of Toxicity.
Richard S. Paules focuses on Toxicity, Computational biology, Function, Prioritization and High-Throughput Screening Assays. His Toxicity research includes elements of Zebrafish and Pharmacology. His research in High-Throughput Screening Assays intersects with topics in Gene expression profiling, Biological pathway, Transcriptome, DNA microarray and Gene.
Genetic variation and Gene expression are the primary areas of interest in his Gene study.
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An Integrated Stress Response Regulates Amino Acid Metabolism and Resistance to Oxidative Stress
Heather P. Harding;Yuhong Zhang;Huiquing Zeng;Isabel Novoa.
Molecular Cell (2003)
Assessing Gene Significance from cDNA Microarray Expression Data via Mixed Models
Russell D. Wolfinger;Greg Gibson;Elizabeth D. Wolfinger;Lee Bennett.
Journal of Computational Biology (2001)
The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
Leming Shi;Gregory Campbell;Wendell D. Jones;Fabien Campagne.
Nature Biotechnology (2010)
Oxidative stress and cell cycle checkpoint function
Rodney E. Shackelford;William K. Kaufmann;Richard S. Paules.
Free Radical Biology and Medicine (2000)
Standardizing global gene expression analysis between laboratories and across platforms
Theodore Bammler;Richard P. Beyer;Sanchita Bhattacharya;Gary A. Boorman.
Nature Methods (2005)
Gene expression analysis reveals chemical-specific profiles.
Hisham K. Hamadeh;Pierre R. Bushel;Supriya Jayadev;Karla Martin.
Toxicological Sciences (2002)
The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance
Charles Wang;Binsheng Gong;Pierre R. Bushel;Jean Thierry-Mieg.
Nature Biotechnology (2014)
DNA damage and cell cycle checkpoints.
William K. Kaufmann;Richard S. Paules.
The FASEB Journal (1996)
Prediction of compound signature using high density gene expression profiling.
Hisham K. Hamadeh;Pierre R. Bushel;Supriya Jayadev;Olimpia DiSorbo.
Toxicological Sciences (2002)
An ATR- and Chk1-Dependent S Checkpoint Inhibits Replicon Initiation following UVC-Induced DNA Damage
Timothy P. Heffernan;Dennis A. Simpson;Alexandra R. Frank;Alexandra N. Heinloth.
Molecular and Cellular Biology (2002)
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