2013 - Fellow of the American Mathematical Society
2012 - Fellow of the International Society for Computational Biology
1995 - Fellow of the American Association for the Advancement of Science (AAAS)
Her primary areas of study are Genetics, Gene expression profiling, Gene, Computational biology and Genomics. Her research on Genetics often connects related topics like Cell biology. Her Gene expression profiling research includes elements of Cancer research, Bioinformatics, Diffuse large B-cell lymphoma, DNA microarray and Prednisone.
In general Gene study, her work on Gene expression, IDH1 and Mesenchymal Glioblastoma often relates to the realm of Set, thereby connecting several areas of interest. The Computational biology study combines topics in areas such as Oligonucleotide Microarrays, Human cancer, Personal genomics, Regulation of gene expression and Transcription. Her work deals with themes such as User experience design, Cell culture, World Wide Web and Data science, which intersect with Genomics.
Her main research concerns Computational biology, Genetics, Gene, Bioinformatics and Cancer research. Cluster analysis is closely connected to Visualization in her research, which is encompassed under the umbrella topic of Computational biology. Her work in Genome, Gene expression profiling, Human genome, Exome and Mutation is related to Genetics.
Her work on Gene expression, RNA interference and Transcriptome as part of general Gene study is frequently linked to Set, therefore connecting diverse disciplines of science. She interconnects Disease and Workflow in the investigation of issues within Bioinformatics. Her Cancer research research is multidisciplinary, incorporating perspectives in Cancer cell, Cancer, Metastasis and Oncogene.
Her primary areas of investigation include Computational biology, Gene, Genetics, Bioinformatics and Cancer research. Her Computational biology research incorporates themes from Precision medicine, Integrative genomics, Visual inspection and MAPK/ERK pathway. Her work in Gene addresses subjects such as Immune system, which are connected to disciplines such as Gene regulatory network, Inflammation and Sepsis.
Her study deals with a combination of Genetics and Identification. Her Bioinformatics research also works with subjects such as
Jill P. Mesirov mostly deals with Computational biology, Genetics, Bioinformatics, Gene and Cancer. Her Computational biology study frequently links to other fields, such as Functional genomics. She undertakes multidisciplinary investigations into Genetics and Chromoplexy in her work.
Her Bioinformatics study combines topics in areas such as Interoperation, Workflow, System integration and Genomics. As part of her studies on Gene, she often connects relevant areas like Cell. Her Cancer research is multidisciplinary, relying on both Phenotype, Exome sequencing, Genome and Gene mutation.
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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)
Initial sequencing and analysis of the human genome.
Eric S. Lander;Lauren M. Linton;Bruce Birren;Chad Nusbaum.
Molecular classification of cancer: class discovery and class prediction by gene expression monitoring.
T. R. Golub;T. R. Golub;D. K. Slonim;P. Tamayo;C. Huard.
Integrative genomics viewer
James T Robinson;Helga Thorvaldsdóttir;Wendy Winckler;Mitchell Guttman.
Nature Biotechnology (2011)
Comprehensive molecular portraits of human breast tumours
Daniel C. Koboldt;Robert S. Fulton;Michael D. McLellan;Heather Schmidt.
Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1
Roel G. W. Verhaak;Katherine A. Hoadley;Elizabeth Purdom;Victoria Wang.
Cancer Cell (2010)
PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes
Vamsi K Mootha;Cecilia M Lindgren;Cecilia M Lindgren;Karl-Fredrik Eriksson;Aravind Subramanian.
Nature Genetics (2003)
Initial sequencing and comparative analysis of the mouse genome.
Robert H. Waterston;Kerstin Lindblad-Toh;Ewan Birney;Jane Rogers.
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Jordi Barretina;Giordano Caponigro;Nicolas Stransky;Kavitha Venkatesan.
Comprehensive genomic characterization defines human glioblastoma genes and core pathways
Roger McLendon;Allan Friedman;Darrell Bigner;Erwin G. Van Meir.
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