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BMCBI
2006
115views more  BMCBI 2006»
13 years 8 months ago
Multivariate curve resolution of time course microarray data
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
Peter D. Wentzell, Tobias K. Karakach, Sushmita Ro...
BMCBI
2010
208views more  BMCBI 2010»
13 years 8 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...
MM
2006
ACM
203views Multimedia» more  MM 2006»
14 years 1 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
BMCBI
2010
277views more  BMCBI 2010»
13 years 8 months ago
PCA2GO: a new multivariate statistics based method to identify highly expressed GO-Terms
Background: Several tools have been developed to explore and search Gene Ontology (GO) databases allowing efficient GO enrichment analysis and GO tree visualization. Nevertheless,...
Marc Bruckskotten, Mario Looso, Franz Cemic, Anne ...
WABI
2007
Springer
122views Bioinformatics» more  WABI 2007»
14 years 2 months ago
Algorithms for the Extraction of Synteny Blocks from Comparative Maps
In comparing genomic maps, it is often difficult to distinguish mapping errors and incorrectly resolved paralogies from genuine rearrangements of the genomes. A solution to this ...
Vicky Choi, Chunfang Zheng, Qian Zhu, David Sankof...