Predicting deleterious non-synonymous single nucleotide polymorphisms in signal peptides based on hybrid sequence attributes
type: Item
instance of: scholarly article
title: Predicting deleterious non-synonymous single nucleotide polymorphisms in signal peptides based on hybrid sequence attributes
zbMATH Open document ID: 1244.92019
author: Wenli Qin
author: Yizhou Li
author: Runyu Jing
author: Xuemei Pu
author: Di Wu
author: Lezheng Yu
author: Yanzhi Guo
author: Menglong Li
author: Juan Li
published in: Computational Biology and Chemistry
publication date: 2012-08-07T00:00:00Z
Mathematics Subject Classification ID: 92C40
Mathematics Subject Classification ID: 92C37
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 92-08
zbMATH DE Number: 6064056
zbMATH Keywords: jackknife test
Wikidata QID: Q45744794
describes a project that uses: 2D-MH
describes a project that uses: PANTHER
describes a project that uses: GPCR-CA
describes a project that uses: UniProt
describes a project that uses: nsSNPAnalyzer
describes a project that uses: PMut
MaRDI profile type: Publication
full work available at URL: j.compbiolchem.2011.12.001
OpenAlex ID: W2019718830
cites work: Random forests
cites work: Measuring the Accuracy of Diagnostic Systems
cites work: 2D-MH: a web-server for generating graphic representation of protein sequences based on the physicochemical properties of their constituent amino acids
DBLP publication ID: journals/candc/QinLLYWJPGL12
DOI: 10.1016/J.COMPBIOLCHEM.2011.12.001
description: scientific article; zbMATH DE number 6064056