IEEE/ACM transactions on computational biology and bioinformatics
Jan 1, 2017
Owing to the innate noise in the biological data sources, a single source or a single measure do not suffice for an effective disease gene prioritization. So, the integration of multiple data sources or aggregation of multiple measures is the need of...
IEEE/ACM transactions on computational biology and bioinformatics
Jan 1, 2017
Copy number variants (CNVs), including large deletions and duplications, represent an unbalanced change of DNA segments. Abundant in human genomes, CNVs contribute to a large proportion of human genetic diversity, with impact on many human phenotypes...
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2017
Developing a knowledge base that contains all the information necessary for the researcher studying gene regulation in a particular organism can be accomplished in four stages. This begins with defining the data scope. We describe here the necessary ...
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2017
Logical reasoning played an important role in artificial intelligence. Applying logical reasoning on microRNA data brings intelligence into data analysis. Here, we provide basic introduction about logic (especially propositional logic) and automated ...
Combinatorial chemistry & high throughput screening
Jan 1, 2017
BACKGROUND: The cell cycle-regulated genes express periodically with the cell cycle stages, and the identification and study of these genes can provide a deep understanding of the cell cycle process. Large false positives and low overlaps are big pro...
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2017
The Protein Ontology (PRO) is the reference ontology for proteins in the Open Biomedical Ontologies (OBO) foundry and consists of three sub-ontologies representing protein classes of homologous genes, proteoforms (e.g., splice isoforms, sequence vari...
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2017
Deep neural network (DNN) models have recently obtained state-of-the-art prediction accuracy for the transcription factor binding (TFBS) site classification task. However, it remains unclear how these approaches identify meaningful DNA sequence signa...
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2017
The overarching goal of the Gene Ontology (GO) Consortium is to provide researchers in biology and biomedicine with all current functional information concerning genes and the cellular context under which these occur. When the GO was started in the 1...
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2017
The GO captures many aspects of functional annotations, but there are other alternative complementary sources of protein function information. For example, enzyme functional annotations are described in a range of resources from the Enzyme Commission...