Sciweavers

840 search results - page 96 / 168
» An integrative approach to modeling biological networks
Sort
View
NIPS
2000
15 years 7 months ago
Discovering Hidden Variables: A Structure-Based Approach
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koll...
BMCBI
2007
146views more  BMCBI 2007»
15 years 6 months ago
Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
CEC
2009
IEEE
16 years 1 months ago
Gene regulation in a particle metabolome
Abstract— The bacterial genome is well understood by biologists. Although its efficiency and adaptability should make it a good model for evolutionary algorithms, the bacterial ...
Simon J. Hickinbotham, Edward Clark, Susan Stepney...
ICASSP
2009
IEEE
15 years 10 months ago
Improved lattice-based spoken document retrieval by directly learning from the evaluation measures
Lattice-based approaches have been widely used in spoken document retrieval to handle the speech recognition uncertainty and errors. Position Specific Posterior Lattices (PSPL) an...
Chao-hong Meng, Hung-yi Lee, Lin-shan Lee
BMCBI
2008
124views more  BMCBI 2008»
15 years 6 months ago
Ontology-based, Tissue MicroArray oriented, image centered tissue bank
Background: Tissue MicroArray technique is becoming increasingly important in pathology for the validation of experimental data from transcriptomic analysis. This approach produce...
Federica Viti, Ivan Merelli, Andrea Caprera, Barba...