MitProt-Pred: Predicting mitochondrial proteins of Plasmodium falciparum parasite using diverse physiochemical properties and ensemble classification

Computers in Biology and Medicine

Volumn 43, Issue 10, 2013, Pages 1502-1511

  Mirza, Muhammad Tayyeb ^a   Khan, Asifullah ^a   Tahir, Muhammad ^a   Lee, Yeon Soo ^b  

^a PAKISTAN INSTITUTE OF ENGINEERING AND APPLIED SCIENCES   (Pakistan)

^b Catholic University of Daegu   (South Korea)

Author keywords

Bi profile Bayes; Ensemble classification; Mitochondrial proteins; Plasmodium falciparum; PseAAC; PseACS; SAAC; SVM

Indexed keywords

BI-PROFILE BAYES; ENSEMBLE CLASSIFICATION; MITOCHONDRIAL PROTEIN; PLASMODIUM FALCIPARUM; PSEAAC; PSEACS; SAAC; SVM;

AMINO ACIDS;

PROTEINS;

MITOCHONDRIAL PROTEIN;

AMINO ACID COMPOSITION; ARTICLE; BAYES THEOREM; HYBRID; PLASMODIUM FALCIPARUM; PRIORITY JOURNAL; PROTEIN DETERMINATION; PSEUDO AMINO ACID COMPOSITION; PSEUDO AVERAGE CHEMICAL SHIFT; SPLIT AMINO ACID COMPOSITION;

BI-PROFILE BAYES; ENSEMBLE CLASSIFICATION; MITOCHONDRIAL PROTEINS; PLASMODIUM FALCIPARUM; PSEAAC; PSEACS; SAAC; SVM;

AMINO ACIDS; BAYES THEOREM; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; MITOCHONDRIAL PROTEINS; PLASMODIUM FALCIPARUM; PROTOZOAN PROTEINS; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE; SUPPORT VECTOR MACHINES;

EID: 84882944562     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2013.07.024     Document Type: Article

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