Hydra: A mixture modeling framework for subtyping pediatric cancer cohorts using multimodal gene expression signatures.
Jacob PfeilLauren M. SandersIoannis N. AnastopoulosA. Geoffrey LyleAlana S. WeinsteinYuanqing XueAndrew BlairHolly C. BealeAlex LeeStanley G. LeungPhuong T. DinhAvanthi Tayi ShahMarcus R. BreeseW. Patrick DevineIsabel BjorkSofie R. SalamaE. Alejandro Sweet-CorderoDavid HausslerOlena Morozova VaskePublished in: PLoS Comput. Biol. (2020)
Keyphrases
- modeling framework
- gene expression
- gene expression profiles
- gene selection
- dna microarray
- microarray
- colon cancer
- gene expression data sets
- gene expression data
- microarray technology
- microarray data
- gene expression data analysis
- survival prediction
- cancer diagnosis
- differential expression
- cancer classification
- analysis of gene expression
- high throughput
- biological processes
- gene expression patterns
- tissue samples
- ovarian cancer
- topic modeling
- expectation maximization
- gene expression analysis
- microarray datasets
- educational technology
- gene expression microarray data
- transcription factors
- gene interactions
- molecular biology
- regulatory networks
- binding sites
- lung cancer
- gene ontology