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BMCBI
2010
146views more  BMCBI 2010»
15 years 4 months ago
On the Choice and Number of Microarrays for Transcriptional Regulatory Network Inference
Background: Transcriptional regulatory network inference (TRNI) from large compendia of DNA microarrays has become a fundamental approach for discovering transcription factor (TF)...
Elissa J. Cosgrove, Timothy S. Gardner, Eric D. Ko...
BMCBI
2010
83views more  BMCBI 2010»
15 years 4 months ago
Trees on networks: resolving statistical patterns of phylogenetic similarities among interacting proteins
Background: Phylogenies capture the evolutionary ancestry linking extant species. Correlations and similarities among a set of species are mediated by and need to be understood in...
William P. Kelly, Michael P. H. Stumpf
BMCBI
2007
207views more  BMCBI 2007»
15 years 4 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
BMCBI
2008
114views more  BMCBI 2008»
15 years 4 months ago
Dinucleotide controlled null models for comparative RNA gene prediction
Background: Comparative prediction of RNA structures can be used to identify functional noncoding RNAs in genomic screens. It was shown recently by Babak et al. [BMC Bioinformatic...
Tanja Gesell, Stefan Washietl
BMCBI
2008
142views more  BMCBI 2008»
15 years 4 months ago
Microarray data mining: A novel optimization-based approach to uncover biologically coherent structures
Background: DNA microarray technology allows for the measurement of genome-wide expression patterns. Within the resultant mass of data lies the problem of analyzing and presenting...
Meng Piao Tan, Erin N. Smith, James R. Broach, Chr...