Probabilistic modeling of systematic errors in two-hybrid experiments

Pacific Symposium on Biocomputing 2007, PSB 2007

Volumn , Issue , 2007, Pages 445-457

  Sontag, David ^a   Singh, Rohit ^a   Berger, Bonnie ^a,b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR MODEL; ERROR RATE; EXPERIMENTAL PROTOCOLS; HIGH-THROUGHPUT; INDIVIDUAL PROTEINS; MARKOV CHAIN MONTE CARLO ALGORITHMS; PREDICTION ACCURACY; PROBABILISTIC APPROACHES; PROBABILISTIC MODELING; PROBABILISTIC RELATIONAL MODELS; PROTEIN-PROTEIN INTERACTION NETWORKS; PROTEIN-PROTEIN INTERACTIONS;

EXPERIMENTS; RANDOM ERRORS;

PROTEINS;

ALGORITHM; ANIMAL; ARTICLE; BIOLOGY; HUMAN; MONTE CARLO METHOD; PROBABILITY; PROTEIN ANALYSIS; STATISTICAL MODEL; STATISTICS; TWO HYBRID SYSTEM;

ALGORITHMS; ANIMALS; COMPUTATIONAL BIOLOGY; HUMANS; MARKOV CHAINS; MODELS, STATISTICAL; MONTE CARLO METHOD; PROTEIN INTERACTION MAPPING; TWO-HYBRID SYSTEM TECHNIQUES;

EID: 38449103843     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

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