2017 - Member of the National Academy of Medicine (NAM)
His main research concerns Medulloblastoma, Bioinformatics, Cancer research, Gene expression profiling and Mutation. His research in Medulloblastoma intersects with topics in Molecular classification, SMARCA4 and PTCH1. His biological study spans a wide range of topics, including Cancer, Genomics, Disease and Gene, Human genetics.
His Gene expression profiling research is multidisciplinary, incorporating elements of Malignancy, Clinical trial, Consensus conference, Microarray and Adult Medulloblastoma. The subject of his Mutation research is within the realm of Genetics. In his work, Computational biology is strongly intertwined with Gene signature, which is a subfield of Genome.
Medulloblastoma, Cancer research, Bioinformatics, Genetics and Cancer are his primary areas of study. Scott L. Pomeroy combines subjects such as Internal medicine, Gene expression profiling, Oncology and Genomics with his study of Medulloblastoma. His research investigates the connection with Cancer research and areas like Mutation rate which intersect with concerns in Exome sequencing.
His research in Bioinformatics tackles topics such as Disease which are related to areas like In silico. His work on Gene, Chromatin, Exome and Comparative genomic hybridization is typically connected to DDX3X as part of general Genetics study, connecting several disciplines of science. A large part of his Gene studies is devoted to Genome.
His primary areas of investigation include Medulloblastoma, Bioinformatics, Cancer research, Genomics and Disease. His study in Medulloblastoma is interdisciplinary in nature, drawing from both Cancer, Internal medicine, Oncology and Gene expression profiling. In the field of Bioinformatics, his study on Clinical trial overlaps with subjects such as Evidence-based medicine.
His work deals with themes such as Proteome, Rna expression, Proteomics, Molecular heterogeneity and Mutation rate, which intersect with Cancer research. His studies in Genomics integrate themes in fields like Cell, Wnt signaling pathway and Computational biology. His study with Genome involves better knowledge in Gene.
His primary areas of study are Medulloblastoma, Bioinformatics, Cancer research, Genomics and DNA methylation. His Medulloblastoma research incorporates elements of Surgery, Cohort study, Molecular heterogeneity, Proteomics and Tumor Pathology. His research integrates issues of Carcinogenesis, Childhood Medulloblastoma, In silico and Gene expression profiling in his study of Bioinformatics.
His Cancer research study incorporates themes from Proteome, Kinase, Mutation rate and Rna expression. Genomics is a subfield of Genome that Scott L. Pomeroy tackles. His DNA methylation study is focused on Gene in general.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
Aravind Subramanian;Pablo Tamayo;Vamsi K. Mootha;Sayan Mukherjee.
Proceedings of the National Academy of Sciences of the United States of America (2005)
The landscape of somatic copy-number alteration across human cancers
Rameen Beroukhim;Craig H. Mermel;Craig H. Mermel;Dale Porter;Guo Wei.
(2010)
Prediction of central nervous system embryonal tumour outcome based on gene expression
Scott L. Pomeroy;Pablo Tamayo;Michelle Gaasenbeek;Lisa M. Sturla.
Nature (2002)
Molecular Subgroups of Medulloblastoma: The Current Consensus
Michael D. Taylor;Paul A. Northcott;Andrey Korshunov;Marc Remke;Marc Remke.
Acta Neuropathologica (2012)
Gene expression-based classification of malignant gliomas correlates better with survival than histological classification.
Catherine L. Nutt;D. R. Mani;Rebecca A. Betensky;Pablo Tamayo.
Cancer Research (2003)
Tumour microvesicles contain retrotransposon elements and amplified oncogene sequences
Leonora Balaj;Ryan Lessard;Lixin Dai;Yoon Jae Cho.
Nature Communications (2011)
Molecular subgroups of medulloblastoma: an international meta-analysis of transcriptome, genetic aberrations, and clinical data of WNT, SHH, Group 3, and Group 4 medulloblastomas
Marcel Kool;Andrey Korshunov;Marc Remke;Marc Remke;David T.W. Jones.
Acta Neuropathologica (2012)
Dissecting the genomic complexity underlying medulloblastoma
David T. W. Jones;Natalie Jäger;Marcel Kool;Thomas Zichner.
Nature (2012)
Subgroup-specific structural variation across 1,000 medulloblastoma genomes
Paul A. Northcott;Paul A. Northcott;David J.H. Shih;John Peacock;Livia Garzia.
Nature (2012)
Medulloblastoma exome sequencing uncovers subtype-specific somatic mutations
Trevor J Pugh;Trevor J Pugh;Shyamal Dilhan Weeraratne;Shyamal Dilhan Weeraratne;Tenley C. Archer;Tenley C. Archer;Daniel A. Pomeranz Krummel.
Nature (2012)
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