Prediction of subcellular location of apoptosis proteins by incorporating PsePSSM and DCCA coefficient based on LFDA dimensionality reduction

Prediction of subcellular location of apoptosis proteins by incorporating PsePSSM and DCCA coefficient based on LFDA dimensionality reduction

Abstract Background Apoptosis is associated with some human diseases, including cancer, autoimmune disease, neurodegenerative disease and ischemic damage, etc. Apoptosis proteins subcellular localization information is very important for understanding the mechanism of programmed cell death and the d...

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Bibliographic Details
Main Authors: Bin Yu, Shan Li, Wenying Qiu, Minghui Wang, Junwei Du, Yusen Zhang, Xing Chen
Format: Article
Language:English
Published: BMC 2018-06-01
Series:BMC Genomics
Subjects:
Apoptosis proteins
Subcellular localization
Pseudo-position specific scoring matrix
Detrended cross-correlation analysis coefficient
Local fisher discriminant analysis
Support vector machine
Online Access:http://link.springer.com/article/10.1186/s12864-018-4849-9

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http://link.springer.com/article/10.1186/s12864-018-4849-9

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