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https://doi.org/10.5281/zenodo.23477415
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1097-0258(19960229)15:4<361::aid-sim168>3.0.co;2-4zenodo-depositor-declared
MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORS
inferredcites →https://doi.org/10.1016/j.cell.2018.02.052zenodo-depositor-declared
An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics
inferredcites →https://doi.org/10.1016/j.cels.2015.12.004zenodo-depositor-declared
The Molecular Signatures Database Hallmark Gene Set Collection
inferredcites →https://doi.org/10.1016/s0140-6736(05)17866-0zenodo-depositor-declared
Prediction of cancer outcome with microarrays: a multiple random validation strategy
inferredcites →https://doi.org/10.1038/nature08460zenodo-depositor-declared
Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1
inferredcites →https://doi.org/10.1038/nature11404zenodo-depositor-declared
Comprehensive genomic characterization of squamous cell lung cancers
inferredcites →https://doi.org/10.1038/nature13385zenodo-depositor-declared
Comprehensive molecular profiling of lung adenocarcinoma
inferredcites →https://doi.org/10.1038/nbt.3772zenodo-depositor-declared
Toil enables reproducible, open source, big biomedical data analyses
inferredcites →https://doi.org/10.1038/s41587-020-0546-8zenodo-depositor-declared
Visualizing and interpreting cancer genomics data via the Xena platform
inferredcites →https://doi.org/10.1073/pnas.0506580102zenodo-depositor-declared
Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
inferredcites →https://doi.org/10.1093/bioinformatics/bth469zenodo-depositor-declared
Outcome signature genes in breast cancer: is there a unique set?
inferredcites →https://doi.org/10.1093/bioinformatics/btv377zenodo-depositor-declared
Alternative preprocessing of RNA-Sequencing data in The Cancer Genome Atlas leads to improved analysis results
inferredcites →https://doi.org/10.1186/1471-2105-14-7zenodo-depositor-declared
GSVA: gene set variation analysis for microarray and RNA-Seq data
inferredcites →https://doi.org/10.1371/journal.pcbi.1002240zenodo-depositor-declared
Most Random Gene Expression Signatures Are Significantly Associated with Breast Cancer Outcome
inferredcites →https://doi.org/10.18637/jss.v033.i01zenodo-depositor-declared
Regularization Paths for Generalized Linear Models via Coordinate Descent
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