Improving prediction of extracellular matrix proteins using evolutionary information via a grey system model and asymmetric under-sampling technique-Reference-Cited by-同舟云学术

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Improving prediction of extracellular matrix proteins using evolutionary information via a grey system model and asymmetric under-sampling technique

Published:2018-03 Issue: Volume:174 Page:22-32
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Kabir Muhammad,Ahmad Saeed,Iqbal Muhammad,Khan Swati Zar Nawab,Liu Zi,Yu Dong-Jun

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference70 articles.

1. The mammary epithelial cell secretome and its regulation by signal transduction pathways;Jacobs;J. Proteome Res.,2008

2. Prediction of extracellular matrix proteins based on distinctive sequence and domain characteristics;Jung;J. Comput. Biol.,2010

3. An ensemble method with hybrid features to identify extracellular matrix proteins;Yang;PLoS One,2015

4. Extracellular matrix remodeling: the common denominator in connective tissue diseases possibilities for evaluation and current understanding of the matrix as more than a passive architecture, but a key player in tissue failure;Karsdal;Assay Drug Dev. Technol.,2013

5. Middle East respiratory syndrome coronavirus: another zoonotic betacoronavirus causing SARS-like disease;Chan;Clin. Microbiol. Rev.,2015

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