Prediction of essential proteins in prokaryotes by incorporating various physico-chemical features into the general form of chou's pseudo amino acid composition

Protein and Peptide Letters

Volumn 20, Issue 7, 2013, Pages 781-795

  Sarangi, Aditya Narayan ^a   Lohani, Mohtashim ^b   Aggarwal, Rakesh ^a  

^a SANJAY GANDHI POSTGRADUATE INSTITUTE OF MEDICAL SCIENCES   (India)

^b INTEGRAL UNIVERSITY   (India)

Author keywords

Classification; Essential protein; Machine learning; Support vector machine

Indexed keywords

ESSENTIAL AMINO ACID; FUNGAL PROTEIN;

AMINO ACID COMPOSITION; AREA UNDER THE CURVE; ARTICLE; CLASSIFICATION ALGORITHM; COMPUTER MODEL; CONTROLLED STUDY; CORRELATION COEFFICIENT; DESCRIPTOR VECTOR; MACHINE LEARNING; MEASUREMENT ACCURACY; NONHUMAN; PHYSICAL CHEMISTRY; PREDICTION; PROKARYOTE; PROTEIN ANALYSIS; PROTEOMICS; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SEQUENCE ANALYSIS; SUPPORT VECTOR MACHINE; VALIDATION STUDY; YEAST;

AMINO ACIDS; BACTERIAL PROTEINS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; FUNGAL PROTEINS; MODELS, CHEMICAL; REPRODUCIBILITY OF RESULTS; ROC CURVE; SEQUENCE ANALYSIS, PROTEIN; SUPPORT VECTOR MACHINES;

EID: 84882396882     PISSN: 09298665     EISSN: None     Source Type: Journal    
DOI: 10.2174/0929866511320070008     Document Type: Article

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