A computational framework for boosting confidence in high-throughput protein-protein interaction datasets

Genome biology

Volumn 13, Issue 8, 2012, Pages R76-

  Hosur, Raghavendra ^a   Peng, Jian ^a   Vinayagam, Arunachalam ^a   Stelzl, Ulrich ^a   Xu, Jinbo ^a   Perrimon, Norbert ^a   Bienkowska, Jadwiga ^a   Berger, Bonnie ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

MITOGEN ACTIVATED PROTEIN KINASE;

ALGORITHM; BIOLOGY; COMPUTER PROGRAM; GENETICS; HIGH THROUGHPUT SCREENING; HUMAN; METABOLISM; MISSENSE MUTATION; PROCEDURES; PROTEIN ANALYSIS; PROTEIN CONFORMATION; PROTEIN DATABASE; REPRODUCIBILITY; SINGLE NUCLEOTIDE POLYMORPHISM;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; HIGH-THROUGHPUT SCREENING ASSAYS; HUMANS; MITOGEN-ACTIVATED PROTEIN KINASES; MUTATION, MISSENSE; POLYMORPHISM, SINGLE NUCLEOTIDE; PROTEIN CONFORMATION; PROTEIN INTERACTION MAPPING; REPRODUCIBILITY OF RESULTS; SOFTWARE;

EID: 84865545263     PISSN: None     EISSN: 14656914     Source Type: Journal    
DOI: 10.1186/gb-2012-13-8-r76     Document Type: Article

References (0)