Intelligent computational model for classification of sub-Golgi protein using oversampling and fisher feature selection methods

Artificial Intelligence in Medicine

Volumn 78, Issue , 2017, Pages 14-22

  Ahmad, Jamal ^a   Javed, Faisal ^a   Hayat, Maqsood ^a  

^a ABDUL WALI KHAN UNIVERSITY   (Pakistan)

Author keywords

Bigram position specific scoring matrix; Dipeptide composition; Fisher feature selection; Golgi protein; k nearest neighbor; Split pseudo amino acid composition

Indexed keywords

BIOINFORMATICS; BIOSYNTHESIS; COMPUTATION THEORY; COMPUTATIONAL METHODS; MOTION COMPENSATION; NEAREST NEIGHBOR SEARCH; NEURODEGENERATIVE DISEASES; NUMERICAL METHODS; PATTERN RECOGNITION; PLANTS (BOTANY); PROTEINS;

DIPEPTIDE COMPOSITION; FEATURE EXTRACTION METHODS; INTELLIGENT COMPUTATIONAL MODEL; K NEAREST NEIGHBOR ALGORITHM; K-NEAREST NEIGHBORS; POSITION SPECIFIC SCORING MATRIX; PSEUDO AMINO ACID COMPOSITIONS; TECHNOLOGICAL ADVANCEMENT;

FEATURE EXTRACTION;

PROTEIN DERIVATIVE; PROTEIN;

ALGORITHM; AMINO ACID COMPOSITION; ARTICLE; ARTIFICIAL INTELLIGENCE; GOLGI COMPLEX; K NEAREST NEIGHBOR; PRIORITY JOURNAL; PROTEIN ANALYSIS; VALIDATION STUDY; ANIMAL; BIOLOGY;

ALGORITHMS; ANIMALS; COMPUTATIONAL BIOLOGY; GOLGI APPARATUS; PROTEINS;

EID: 85019267862     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2017.05.001     Document Type: Article

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