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Christopher A. Miller

Researcher at Washington University in St. Louis

Publications -  151
Citations -  48835

Christopher A. Miller is an academic researcher from Washington University in St. Louis. The author has contributed to research in topics: Leukemia & Gene. The author has an hindex of 55, co-authored 126 publications receiving 39886 citations. Previous affiliations of Christopher A. Miller include University of Washington & Baylor College of Medicine.

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Comprehensive genomic characterization defines human glioblastoma genes and core pathways

Roger E. McLendon, +233 more
- 23 Oct 2008 - 
TL;DR: The interim integrative analysis of DNA copy number, gene expression and DNA methylation aberrations in 206 glioblastomas reveals a link between MGMT promoter methylation and a hypermutator phenotype consequent to mismatch repair deficiency in treated gliobeasts, demonstrating that it can rapidly expand knowledge of the molecular basis of cancer.
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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 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.
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VarScan 2: Somatic mutation and copy number alteration discovery in cancer by exome sequencing

TL;DR: An analysis tool for the detection of somatic mutations and copy number alterations in exome data from tumor-normal pairs is presented and new light is shed on the landscape of genetic alterations in ovarian cancer.