Incorporating the type and direction information in predicting novel regulatory interactions between HIV-1 and human proteins using a biclustering approach

BMC Bioinformatics

Volumn 15, Issue 1, 2014, Pages

  Mukhopadhyay, Anirban ^a   Ray, Sumanta ^b   Maulik, Ujjwal ^c  

^a UNIVERSITY OF KALYANI   (India)

^b Aliah University   (India)

^c JADAVPUR UNIVERSITY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

BICLUSTERING ALGORITHM; COMPUTATIONAL PREDICTIONS; EXPERIMENTAL EVIDENCE; PROTEIN-PROTEIN INTERACTIONS; REGULATORY INTERACTIONS; REGULATORY MECHANISM; REGULATORY RELATIONSHIPS; RULE MINING TECHNIQUES;

DATABASE SYSTEMS; FORECASTING; PROTEINS; VIRUSES;

DISEASES;

HUMAN IMMUNODEFICIENCY VIRUS; HUMAN IMMUNODEFICIENCY VIRUS 1;

PROTEIN;

ARTICLE; BIOLOGY; CLUSTER ANALYSIS; FACTUAL DATABASE; HOST PATHOGEN INTERACTION; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS 1; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; METABOLISM; METHODOLOGY; PHYSIOLOGY; PROTEIN ANALYSIS; VIROLOGY;

CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; HIV INFECTIONS; HIV-1; HOST-PATHOGEN INTERACTIONS; HUMANS; PROTEIN INTERACTION MAPPING; PROTEINS;

EID: 84892765737     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-15-26     Document Type: Article

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