Predicting the Subcellular Localization of Human Proteins Using Machine Learning and Exploratory Data Analysis

Genomics, Proteomics and Bioinformatics

Volumn 4, Issue 2, 2006, Pages 120-133

  Acquaah Mensah, George K ^a   Leach, Sonia M ^b   Guda, Chittibabu ^c  

^a MASSACHUSETTS COLLEGE OF PHARMACY AND HEALTH SCIENCES   (United States)

^b UNIVERSITY OF COLORADO SCHOOL OF MEDICINE   (United States)

^c STATE UNIVERSITY OF NEW YORK   (United States)

Author keywords

Decision Tree; Exploratory Data Analysis; Machine Learning; subcellular localization

Indexed keywords

CYTOPLASM PROTEIN; MITOCHONDRIAL PROTEIN;

ACCURACY; ALGORITHM; AMINO ACID SEQUENCE; ARTICLE; CELL MEMBRANE; CELLULAR DISTRIBUTION; DATA ANALYSIS; DATA BASE; DECISION THEORY; HYDROPHOBICITY; PREDICTION; PROTEIN LOCALIZATION; SENSITIVITY ANALYSIS;

ALGORITHMS; CELL MEMBRANE; CYTOPLASM; DATABASES, PROTEIN; HUMANS; PREDICTIVE VALUE OF TESTS; PROTEIN TRANSPORT; PROTEINS; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE;

EID: 33747365645     PISSN: 16720229     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1672-0229(06)60023-5     Document Type: Article

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