Predicting Membrane Protein Expression in Yeast from Sequence-Derived Features
Sign Up to like & getrecommendations! Published in 2017 at "Biophysical Journal"
DOI: 10.1016/j.bpj.2016.11.1928
Abstract: Despite comprising one-quarter of most organisms’ proteome and serving as the target of over half of all drugs, integral membrane proteins remain difficult to characterize. Poor expression in heterologous systems often hinders IMP study, and… read more here.
Keywords: sequence derived; derived features; model; expression ... See more keywords
CERENKOV3: Clustering and molecular network-derived features improve computational prediction of functional noncoding SNPs
Sign Up to like & getrecommendations! Published in 2020 at "Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing"
DOI: 10.1142/9789811215636_0047
Abstract: Identification of causal noncoding single nucleotide polymorphisms (SNPs) is important for maximizing the knowledge dividend from human genome-wide association studies (GWAS). Recently, diverse machine learning-based methods have been used for functional SNP identification; however, this… read more here.
Keywords: molecular network; network; snps; derived features ... See more keywords