OOgenesis_Pred: A sequence-based method for predicting oogenesis proteins by six different modes of Chou's pseudo amino acid composition

Journal of Theoretical Biology

Volumn 414, Issue , 2017, Pages 128-136

  Rahimi, Maryam ^a   Bakhtiarizadeh, Mohammad Reza ^a   Mohammadi Sangcheshmeh, Abdollah ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Data mining; Feature selection; Oogenesis; Protein features; SVM

Indexed keywords

GLYCINE; SERINE; CELL CYCLE PROTEIN; EGG PROTEIN;

ACCURACY ASSESSMENT; AMINO ACID; DATA MINING; DATA SET; OPTIMIZATION; PERFORMANCE ASSESSMENT; PHYSICOCHEMICAL PROPERTY; PROTEIN; SUPPORT VECTOR MACHINE;

ALGORITHM; AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ARTICLE; CONTROLLED STUDY; FEATURE SELECTION METHOD; KERNEL METHOD; OOCYTE DEVELOPMENT; OOGENESIS PRED; OOGENESIS PROTEIN PREDICTION METHOD; PHYSICAL CHEMISTRY; PREDICTION; PRIORITY JOURNAL; PROTEIN DOMAIN; RADIAL BASIS FUNCTION; SOFTWARE; SUPPORT VECTOR MACHINE; ANIMAL; FEMALE; GENETICS; HUMAN; MEIOSIS; METABOLISM; OOGONIUM; PHYSIOLOGY; PREDICTIVE VALUE; SEQUENCE ANALYSIS;

ANIMALS; CELL CYCLE PROTEINS; EGG PROTEINS; FEMALE; HUMANS; MEIOSIS; OOGENESIS; OOGONIA; PREDICTIVE VALUE OF TESTS; SEQUENCE ANALYSIS, PROTEIN;

EID: 85007210909     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2016.11.028     Document Type: Article

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