Robert M. Stephens focuses on Gene, Genetics, Gene expression profiling, Cancer research and microRNA. His Gene research focuses on Database and how it connects with Biological database. His Genetics research incorporates themes from Malaria and Artesunate.
His Gene expression profiling research is multidisciplinary, relying on both Microarray, Regulation of gene expression, Prostate and Data mining. The study incorporates disciplines such as Wnt signaling pathway, Cellular differentiation, Breast cancer, Growth factor receptor and Transforming growth factor beta in addition to Cancer research. His work carried out in the field of microRNA brings together such families of science as Carcinogenesis, Transcription factor, Molecular biology, Cell cycle and Prostate cancer.
Robert M. Stephens spends much of his time researching Genetics, Gene, Cancer research, Genome and Molecular biology. Many of his research projects under Gene are closely connected to Retrotransposon with Retrotransposon, tying the diverse disciplines of science together. He has researched Cancer research in several fields, including Carcinogenesis, Cancer, Prostate cancer, KRAS and microRNA.
His research integrates issues of Bioinformatics and Pathology in his study of Cancer. The concepts of his microRNA study are interwoven with issues in Cell cycle, Gene silencing, Signal transduction and Glioma. His Genome study integrates concerns from other disciplines, such as Computational biology and DNA.
Robert M. Stephens mainly focuses on Cancer research, Genetics, Gene, KRAS and Genome. His Cancer research study incorporates themes from Cancer cell, Cell culture, Cell and microRNA. Robert M. Stephens has included themes like E2F, Cyclin, Phosphoinositide 3-kinase and E2F1 in his microRNA study.
His Gene research includes themes of DNA damage and Mutation. His study on KRAS also encompasses disciplines like
His primary areas of investigation include Cancer research, Genetics, KRAS, Tag SNP and Exome. His biological study spans a wide range of topics, including GTPase, Epidermal growth factor receptor, RNA interference, Kinase and Effector. His research in Genetics intersects with topics in Proteases and Virology.
His work deals with themes such as Wild type, Neurofibromin 1, EGFR inhibitors, GTP' and MAPK/ERK pathway, which intersect with KRAS. His Tag SNP research incorporates elements of SNP genotyping, Concordance, SNP array and Data mining. His Exome study contributes to a more complete understanding of Exome sequencing.
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Unique microRNA molecular profiles in lung cancer diagnosis and prognosis
Nozomu Yanaihara;Natasha Caplen;Elise Bowman;Masahiro Seike.
Cancer Cell (2006)
DAVID Bioinformatics Resources: expanded annotation database and novel algorithms to better extract biology from large gene lists
Da Wei Huang;Brad T. Sherman;Qina Tan;Joseph Kir.
Nucleic Acids Research (2007)
Xiaoli Jiao;Brad T. Sherman;Da Wei Huang;Robert Stephens.
Genomic profiling of microRNA and messenger RNA reveals deregulated microRNA expression in prostate cancer.
Stefan Ambs;Robyn L. Prueitt;Ming Yi;Robert S. Hudson.
Cancer Research (2008)
Tumor Immunobiological Differences in Prostate Cancer between African-American and European-American Men
Tiffany A. Wallace;Robyn L. Prueitt;Ming Yi;Tiffany M. Howe.
Cancer Research (2008)
DAVID Knowledgebase: a gene-centered database integrating heterogeneous gene annotation resources to facilitate high-throughput gene functional analysis
Brad T. Sherman;Da Wei Huang;Qina Tan;Yongjian Guo.
BMC Bioinformatics (2007)
RTCGD: retroviral tagged cancer gene database.
Keiko Akagi;Takeshi Suzuki;Robert M. Stephens;Nancy A. Jenkins.
Nucleic Acids Research (2004)
High-Throughput GoMiner, an 'industrial-strength' integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of Common Variable Immune Deficiency (CVID)
Barry R. Zeeberg;Haiying Qin;Sudarshan Narasimhan;Margot Sunshine.
BMC Bioinformatics (2005)
Extracting biological meaning from large gene lists with DAVID.
Da Wei Huang;Brad T. Sherman;Xin Zheng;Jun Yang.
Current protocols in human genetics (2009)
bioDBnet: the biological database network
Uma Mudunuri;Anney Che;Ming Yi;Robert M. Stephens.
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