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Rebecca L. Siegel et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2020)
Genomic basis for RNA alterations in cancer
Claudia Calabrese et al.
NATURE (2020)
Pan-cancer analysis of whole genomes identifies driver rearrangements promoted by LINE-1 retrotransposition
Bernardo Rodriguez-Martin et al.
NATURE GENETICS (2020)
Simultaneous Interrogation of Cancer Omics to Identify Subtypes With Significant Clinical Differences
Aodan Xu et al.
FRONTIERS IN GENETICS (2019)
Survival Analysis of Multi-Omics Data Identifies Potential Prognostic Markers of Pancreatic Ductal Adenocarcinoma
Nitish Kumar Mishra et al.
FRONTIERS IN GENETICS (2019)
STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets
Damian Szklarczyk et al.
NUCLEIC ACIDS RESEARCH (2019)
COSMIC: the Catalogue Of Somatic Mutations In Cancer
John G. Tate et al.
NUCLEIC ACIDS RESEARCH (2019)
The FDA NIH Biomarkers, EndpointS, and other Tools (BEST) resource in neuro-oncology
Daniel N. Cagney et al.
NEURO-ONCOLOGY (2018)
LinkedOmics: analyzing multi-omics data within and across 32 cancer types
Suhas V. Vasaikar et al.
NUCLEIC ACIDS RESEARCH (2018)
An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics
Jianfang Liu et al.
CELL (2018)
Somatic copy number alterations have prognostic impact in patients with ovarian clear cell carcinoma
Asuka Morikawa et al.
ONCOLOGY REPORTS (2018)
Multi-omic and multi-view clustering algorithms: review and cancer benchmark
Nimrod Rappoport et al.
NUCLEIC ACIDS RESEARCH (2018)
The COSMIC Cancer Gene Census: describing genetic dysfunction across all human cancers
Zbyslaw Sondka et al.
NATURE REVIEWS CANCER (2018)
Deep Learning-Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer
Kumardeep Chaudharyl et al.
CLINICAL CANCER RESEARCH (2018)
Prognostic miRNA classifier in early-stage mycosis fungoides: development and validation in a Danish nationwide study
Lise M. Lindahl et al.
BLOOD (2018)
Epigenome-Wide Tumor DNA Methylation Profiling Identifies Novel Prognostic Biomarkers of Metastatic-Lethal Progression in Men Diagnosed with Clinically Localized Prostate Cancer
Shanshan Zhao et al.
CLINICAL CANCER RESEARCH (2017)
The UCSC Genome Browser database: 2017 update
Cath Tyner et al.
NUCLEIC ACIDS RESEARCH (2017)
Parkin and mitophagy in cancer
J. P. Bernardini et al.
ONCOGENE (2017)
More Is Better: Recent Progress in Multi-Omics Data Integration Methods
Sijia Huang et al.
Frontiers in Genetics (2017)
Integrating Clinical and Multiple Omics Data for Prognostic Assessment across Human Cancers
Bin Zhu et al.
SCIENTIFIC REPORTS (2017)
Comprehensive Molecular Characterization of Papillary Renal-Cell Carcinoma
W. Marston Linehan et al.
NEW ENGLAND JOURNAL OF MEDICINE (2016)
CDX2 as a Prognostic Biomarker in Stage II and Stage III Colon Cancer
Piero Dalerba et al.
NEW ENGLAND JOURNAL OF MEDICINE (2016)
Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
Maxim V. Kuleshov et al.
NUCLEIC ACIDS RESEARCH (2016)
Gene expression analysis identifies global gene dosage sensitivity in cancer
Rudolf S. N. Fehrmann et al.
NATURE GENETICS (2015)
The Candidate Cancer Gene Database: a database of cancer driver genes from forward genetic screens in mice
Kenneth L. Abbott et al.
NUCLEIC ACIDS RESEARCH (2015)
Gene Ontology Consortium: going forward
J. A. Blake et al.
NUCLEIC ACIDS RESEARCH (2015)
Prognostic and Predictive Biomarkers: Tools in Personalized Oncology
Ewelina Nalejska et al.
MOLECULAR DIAGNOSIS & THERAPY (2014)
Assessing the clinical utility of cancer genomic and proteomic data across tumor types
Yuan Yuan et al.
NATURE BIOTECHNOLOGY (2014)
Non-linear molecular pattern classification using molecular beacons with multiple targets
In-Hee Lee et al.
BIOSYSTEMS (2013)
Connecting high-dimensional mRNA and miRNA expression data for binary medical classification problems
Mathias Fuchs et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2013)
Comprehensivemolecular characterization of clear cell renal cell carcinoma
Chad J. Creighton et al.
NATURE (2013)
The causes and consequences of genetic heterogeneity in cancer evolution
Rebecca A. Burrell et al.
NATURE (2013)
Intratumor Heterogeneity: Evolution through Space and Time
Charles Swanton
CANCER RESEARCH (2012)
Publication of Tumor Marker Research Results: The Necessity for Complete and Transparent Reporting
Lisa M. McShane et al.
JOURNAL OF CLINICAL ONCOLOGY (2012)
Comprehensive genomic characterization of squamous cell lung cancers
Peter S. Hammerman et al.
NATURE (2012)
Intra-tumour heterogeneity: a looking glass for cancer?
Andriy Marusyk et al.
NATURE REVIEWS CANCER (2012)
Integrated genomic analyses of ovarian carcinoma
D. Bell et al.
NATURE (2011)
starBase: a database for exploring microRNA-mRNA interaction maps from Argonaute CLIP-Seq and Degradome-Seq data
Jian-Hua Yang et al.
NUCLEIC ACIDS RESEARCH (2011)
GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers
Craig H. Mermel et al.
GENOME BIOLOGY (2011)
Aberrant Epigenetic Landscape in Cancer: How Cellular Identity Goes Awry
Maria Berdasco et al.
DEVELOPMENTAL CELL (2010)
Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, prediction models and molecular markers
Andrew J. Vickers et al.
BMC MEDICAL INFORMATICS AND DECISION MAKING (2008)
Comparison of aspects of smoking among the four histological types of lung cancer
S. A. Kenfield et al.
TOBACCO CONTROL (2008)
MicroRNAs: Genomics, biogenesis, mechanism, and function
DP Bartel
CELL (2004)
Significance analysis of microarrays applied to the ionizing radiation response
VG Tusher et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2001)
KEGG: Kyoto Encyclopedia of Genes and Genomes
M Kanehisa et al.
NUCLEIC ACIDS RESEARCH (2000)