Predicting deleterious non-synonymous single nucleotide polymorphisms in signal peptides based on hybrid sequence attributes

DOI10.1016/j.compbiolchem.2011.12.001zbMath1244.92019OpenAlexW2019718830WikidataQ45744794 ScholiaQ45744794MaRDI QIDQ441745

Wenli Qin, Yizhou Li, Juan Li, Xuemei Pu, Runyu Jing, Di Wu, Meng-long Li, Yan-zhi Guo, Le-zheng Yu

Publication date: 7 August 2012

Published in: Computational Biology and Chemistry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.compbiolchem.2011.12.001

zbMATH Keywords

jackknife test

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40) Cell biology (92C37) Computational methods for problems pertaining to biology (92-08)

Related Items (3)

Two-step efficient quantum dialogue with three-particle entangled W state ⋮ Quantum information splitting of a two-qubit Bell state using a five-qubit entangled state ⋮ Quantum information splitting of arbitrary three-qubit state by using four-qubit cluster state and GHZ-state

Uses Software

• 2D-MH
• UniProt
• PANTHER
• GPCR-CA
• nsSNPAnalyzer
• PMut

Cites Work

• 2D-MH: a web-server for generating graphic representation of protein sequences based on the physicochemical properties of their constituent amino acids
• Measuring the Accuracy of Diagnostic Systems
• Random forests

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