author keywords: Metabolomics; Data mining; Cheminformatics; Molecular fragmentation; Statistics; Visualization; Chemical structure
TL;DR:
A novel cheminformatics-based approach capable of identifying predictive, interpretable, and reproducible trait-metabolite relationships that could ultimately facilitate biological understanding and advance research based on metabolomics data, especially with respect to the identification of novel biomarkers.
(via Semantic Scholar)
TL;DR:
A large drug combination screen across cancer cell lines is provided to benchmark crowdsourced methods and to computationally predict drug synergies, and genomic rationale for synergy predictions are identified.
(via Semantic Scholar)
MeSH headings : Angiopoietin-Like Protein 4 / genetics; Cholesterol Ester Transfer Proteins / genetics; Computational Biology / methods; Computer Simulation; Genetic Association Studies / methods; Genetic Predisposition to Disease / genetics; Genetic Variation / genetics; Humans; Models, Genetic; Proprotein Convertase 9 / genetics; Protein Structure, Tertiary; Risk Factors; Sequence Analysis, DNA / methods
TL;DR:
This work proposes a protein structure guided local test (POINT) to provide variant-specific association information using structure-guided aggregation of signal and assess the selection performance of POINT using simulations and illustrates how it can be used to prioritize individual rare variants in PCSK9, ANGPTL4 and CETP in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) clinical trial data.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018
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