Predicting Endoplasmic Reticulum Resident Proteins Using Auto-Cross Covariance Transformation With a U-Shaped Residue Weight-Transfer Function.

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Bibliographic Details
Title: Predicting Endoplasmic Reticulum Resident Proteins Using Auto-Cross Covariance Transformation With a U-Shaped Residue Weight-Transfer Function.
Authors: Miao YY; College of Intelligence and Computing, Tianjin University, Tianjin, China.; School of Chemical Engineering, Tianjin University, Tianjin, China., Zhao W; College of Intelligence and Computing, Tianjin University, Tianjin, China., Li GP; College of Intelligence and Computing, Tianjin University, Tianjin, China., Gao Y; School of Medicine, Nankai University, Tianjin, China., Du PF; College of Intelligence and Computing, Tianjin University, Tianjin, China.
Source: Frontiers in genetics [Front Genet] 2019 Dec 20; Vol. 10, pp. 1231. Date of Electronic Publication: 2019 Dec 20 (Print Publication: 2019).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101560621 Publication Model: eCollection Cited Medium: Print ISSN: 1664-8021 (Print) Linking ISSN: 16648021 NLM ISO Abbreviation: Front Genet Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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