Expectation-maximization method for reconstructing tumor phylogenies from single-cell data.

Computational systems bioinformatics / Life Sciences Society. Computational Systems Bioinformatics Conference

Volumn , Issue , 2006, Pages 371-380

  Pennington, G ^a   Smith, C A ^a   Shackney, S ^a   Schwartz, R ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; BIOLOGY; BREAST TUMOR; COMPUTER PROGRAM; DISEASE COURSE; FLUORESCENCE IN SITU HYBRIDIZATION; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; HUMAN; METABOLISM; METHODOLOGY; NEOPLASM; PHYLOGENY; PROBABILITY; REPRODUCIBILITY; SIGNAL PROCESSING; STATISTICAL MODEL;

ALGORITHMS; BREAST NEOPLASMS; COMPUTATIONAL BIOLOGY; DISEASE PROGRESSION; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; IN SITU HYBRIDIZATION, FLUORESCENCE; MODELS, STATISTICAL; NEOPLASMS; PHYLOGENY; PROBABILITY; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE;

MLCS; MLOWN;

EID: 34250878936     PISSN: 17527791     EISSN: None     Source Type: Journal    
DOI: 10.1142/1860947573_0047     Document Type: Article

References (0)