Stratification of telomerase activity in cancer reveals associations with senescence and genomic instability
Abstract Telomerase activity plays an essential role in tumor growth and varies across cancers, typically classified as low or high…
unsupervised learning
SemNet: Using Local Features to Navigate the Biomedical Concept Graph
Abstract Literature-Based Discovery (LBD) aims to connect scientists across silos by assembling models of the literature to reveal previously hidden…
Using Supervised Learning Methods for Gene Selection in RNA-Seq Case-Control Studies
Abstract Whole transcriptome studies typically yield large amounts of data, with expression values for all genes or transcripts of the…