Detecting the presence and absence of causal relationships between expression of yeast genes with very few samples

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5541 LNBI, Issue , 2009, Pages 466-481

  Kang, Eun Yong ^a   Shpitser, Ilya ^b   Ye, Chun ^c   Eskin, Eleazar ^d  

^a Engineering IV   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL NETWORKS; CAUSAL MODEL; CAUSAL RELATIONSHIPS; CENTRAL PROBLEMS; DATA SETS; EXPERIMENTAL EVIDENCE; GENE EXPRESSION LEVELS; GENE EXPRESSION PROFILES; GENETIC VARIATION; HIGH-THROUGHPUT DATA; INDIRECT EFFECTS; INFERENCE TECHNIQUES; NETWORK RECONSTRUCTION; STATISTICAL APPROACH; YEAST STRAIN;

BIOACTIVITY; BIOCHEMISTRY; BIOINFORMATICS; MOLECULAR BIOLOGY; MOLECULAR STRUCTURE; YEAST;

GENE EXPRESSION;

EID: 67650293353     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02008-7_33     Document Type: Conference Paper

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