. . . . . . . . . . . . "[) to apply Statistical Learning Theory (SLT), specifically Partial Least Squares (PLS) and Kernelized PLS (K-PLS), to the universal `feature-rich/case-poor` (also known as `large p small n`, or `high-dimension, low-sample size`) microarray problem by eliminating those features (or probes) that do not contribute to the `best` chromosome bio-markers for lung cancer, and 2.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en . . . . . "2014-02-25"^^ . . "Gene-disease associations inferred from text-mining the literature."@en . "DisGeNET evidence - LITERATURE"@en . "2014-10-02T12:36:02+02:00"^^ . . . . . . . . . . . "v2.1.0.0" . "v2.1.0" .