Pan-cancer identification of clinically relevant genomic subtypes using outcome-weighted integrative clustering
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Pan-cancer identification of clinically relevant genomic subtypes using outcome-weighted integrative clustering
Authors
Keywords
-
Journal
Genome Medicine
Volume 12, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-12-03
DOI
10.1186/s13073-020-00804-8
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Worldwide research trends on aristolochic acids (1957–2017): Suggestions for researchers
- (2019) Qiang Zhou et al. PLoS One
- Oncogenic Signaling Pathways in The Cancer Genome Atlas
- (2018) Francisco Sanchez-Vega et al. CELL
- Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer
- (2018) Katherine A. Hoadley et al. CELL
- Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation
- (2018) Tathiane M. Malta et al. CELL
- The Immune Landscape of Cancer
- (2018) Vésteinn Thorsson et al. IMMUNITY
- Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survival
- (2018) Daniele Ramazzotti et al. Nature Communications
- Mutations in DNA repair genes are associated with increased neo-antigen load and activated T cell infiltration in lung adenocarcinoma
- (2017) Young Kwang Chae et al. Oncotarget
- Comprehensive Molecular Characterization of Papillary Renal-Cell Carcinoma
- (2016) NEW ENGLAND JOURNAL OF MEDICINE
- Robust enumeration of cell subsets from tissue expression profiles
- (2015) Aaron M Newman et al. NATURE METHODS
- Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas
- (2015) NEW ENGLAND JOURNAL OF MEDICINE
- Multiplatform Analysis of 12 Cancer Types Reveals Molecular Classification within and across Tissues of Origin
- (2014) Katherine A. Hoadley et al. CELL
- Comprehensive molecular characterization of gastric adenocarcinoma
- (2014) Adam J. Bass et al. NATURE
- Similarity network fusion for aggregating data types on a genomic scale
- (2014) Bo Wang et al. NATURE METHODS
- Integrated genomic characterization of endometrial carcinoma
- (2013) Gad Getz et al. NATURE
- Signatures of mutational processes in human cancer
- (2013) Ludmil B. Alexandrov et al. NATURE
- Pattern discovery and cancer gene identification in integrated cancer genomic data
- (2013) Qianxing Mo et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups
- (2012) Christina Curtis et al. NATURE
- Inference of patient-specific pathway activities from multi-dimensional cancer genomics data using PARADIGM
- (2010) Charles J. Vaske et al. BIOINFORMATICS
- Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis
- (2009) Ronglai Shen et al. BIOINFORMATICS
- IDH1andIDH2Mutations in Gliomas
- (2009) Hai Yan et al. NEW ENGLAND JOURNAL OF MEDICINE
- Association of survival and disease progression with chromosomal instability: A genomic exploration of colorectal cancer
- (2009) M. Sheffer et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Genes mirror geography within Europe
- (2008) John Novembre et al. NATURE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More