A hidden markov model approach for prediction of genomic alterations from gene expression profiling

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

Volumn 4983 LNBI, Issue , 2008, Pages 414-425

  Geng, Huimin ^a,b   Ali, Hesham H ^a   Chan, Wing C ^b  

^a UNIVERSITY OF NEBRASKA AT OMAHA   (United States)

^b UNIVERSITY OF NEBRASKA MEDICAL CENTER   (United States)

Author keywords

Comparative Genomic Hybridization (CGH); Gene Expression Profiling (GEP); Genomic alterations; Hidden Markov Model (HMM)

Indexed keywords

CGH DATA; COMPARATIVE GENOMIC HYBRIDIZATION; COMPARATIVE GENOMIC HYBRIDIZATION (CGH); DNA COPY NUMBER; GENE EXPRESSION PROFILING; GENE EXPRESSION PROFILING (GEP); GENETIC ABNORMALITIES; GENOMIC ALTERATIONS; HIDDEN MARKOV MODEL (HMM); HIDDEN MARKOV MODELING; HIGH-DENSITY; INTERNATIONAL SYMPOSIUM; LYMPHOID MALIGNANCIES;

BIOACTIVITY; BIOCOMMUNICATIONS; BIOINFORMATICS; FORECASTING; GENE EXPRESSION; HIDDEN MARKOV MODELS; INFORMATION SCIENCE; LEARNING SYSTEMS; NUCLEIC ACIDS; OBJECT RECOGNITION; ONCOLOGY; ORGANIC ACIDS; SENSITIVITY ANALYSIS; SENSOR NETWORKS; TUMORS;

MARKOV PROCESSES;

EID: 49949100280     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-79450-9_38     Document Type: Conference Paper

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