iSubGen generates integrative disease subtypes by pairwise similarity assessment
Abstract There are myriad types of biomedical data—molecular, clinical images, and others. When a group of patients with the same…
data integration
Identifying cell lines across pan-cancer to be used in preclinical research as a proxy for patient tumor samples
Abstract In pre-clinical trials of anti-cancer drugs, cell lines are utilized as a model for patient tumor samples to understand…
Integrated multi-omics analysis reveals the molecular interplay between circadian clocks and cancer pathogenesis
Abstract Circadian rhythms (CRs) are fundamental biological processes that significantly impact human well-being. Disruption of these rhythms can trigger insufficient…
Long-term cancer survival prediction using multimodal deep learning
Abstract The age of precision medicine demands powerful computational techniques to handle high-dimensional patient data. We present MultiSurv, a multimodal…
The Clinical Kinase Index: A Method to Prioritize Understudied Kinases as Drug Targets for the Treatment of Cancer
Abstract The approval of the first kinase inhibitor, Gleevec, ushered in a paradigm shift for oncological treatment—the use of genomic…
Edgetic perturbation signatures represent known and novel cancer biomarkers
Abstract Isoform switching is a recently characterized hallmark of cancer, and often translates to the loss or gain of domains…
Multi-omics Data Integration, Interpretation, and Its Application
Abstract To study complex biological processes holistically, it is imperative to take an integrative approach that combines multi-omics data to…
As Ontologies Reach Maturity, Artificial Intelligence Starts Being Fully Efficient: Findings from the Section on Knowledge Representation and Management for the Yearbook 2018
Abstract Objectives: To select, present, and summarize the best papers published in 2017 in the field of Knowledge Representation and…