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Moiz S. Bootwalla

Researcher at University of Southern California

Publications -  46
Citations -  63629

Moiz S. Bootwalla is an academic researcher from University of Southern California. The author has contributed to research in topics: Biology & Gene. The author has an hindex of 29, co-authored 30 publications receiving 49749 citations. Previous affiliations of Moiz S. Bootwalla include Johns Hopkins University.

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Comprehensive molecular portraits of human breast tumours

Daniel C. Koboldt, +355 more
- 04 Oct 2012 - 
TL;DR: The ability to integrate information across platforms provided key insights into previously defined gene expression subtypes and demonstrated the existence of four main breast cancer classes when combining data from five platforms, each of which shows significant molecular heterogeneity.
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The cancer genome atlas pan-cancer analysis project

John N. Weinstein, +379 more
- 01 Oct 2013 - 
TL;DR: The Pan-Cancer initiative compares the first 12 tumor types profiled by TCGA with a major opportunity to develop an integrated picture of commonalities, differences and emergent themes across tumor lineages.
Journal Article

The Cancer Genome Atlas Pan-Cancer analysis project

Kyle Chang, +337 more
- 01 Sep 2013 - 
TL;DR: The Cancer Genome Atlas (TCGA) Research Network has profiled and analyzed large numbers of human tumors to discover molecular aberrations at the DNA, RNA, protein and epigenetic levels as mentioned in this paper.
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Comprehensive molecular characterization of gastric adenocarcinoma

Adam J. Bass, +257 more
- 11 Sep 2014 - 
TL;DR: A comprehensive molecular evaluation of 295 primary gastric adenocarcinomas as part of The Cancer Genome Atlas (TCGA) project is described and a molecular classification dividing gastric cancer into four subtypes is proposed.
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Comprehensive molecular profiling of lung adenocarcinoma: The cancer genome atlas research network

Eric A. Collisson, +318 more
- 01 Jan 2014 - 
TL;DR: In this paper, the authors report molecular profiling of 230 resected lung adnocarcinomas using messenger RNA, microRNA and DNA sequencing integrated with copy number, methylation and proteomic analyses.