Sciweavers

350 search results - page 63 / 70
» Extracting active pathways from gene expression data
Sort
View
BMCBI
2010
136views more  BMCBI 2010»
13 years 7 months ago
The IronChip evaluation package: a package of perl modules for robust analysis of custom microarrays
Background: Gene expression studies greatly contribute to our understanding of complex relationships in gene regulatory networks. However, the complexity of array design, producti...
Yevhen Vainshtein, Mayka Sanchez, Alvis Brazma, Ma...
BMCBI
2005
155views more  BMCBI 2005»
13 years 7 months ago
Mining protein function from text using term-based support vector machines
Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
Simon B. Rice, Goran Nenadic, Benjamin J. Stapley
BMCBI
2010
90views more  BMCBI 2010»
13 years 7 months ago
PuTmiR: A database for extracting neighboring transcription factors of human microRNAs
Background: Some of the recent investigations in systems biology have revealed the existence of a complex regulatory network between genes, microRNAs (miRNAs) and transcription fa...
Sanghamitra Bandyopadhyay, Malay Bhattacharyya
BMCBI
2004
94views more  BMCBI 2004»
13 years 7 months ago
The tissue microarray data exchange specification: implementation by the Cooperative Prostate Cancer Tissue Resource
Background: Tissue Microarrays (TMAs) have emerged as a powerful tool for examining the distribution of marker molecules in hundreds of different tissues displayed on a single sli...
Jules J. Berman, Milton Datta, Andre Kajdacsy-Ball...
BMCBI
2006
110views more  BMCBI 2006»
13 years 7 months ago
Modelling the network of cell cycle transcription factors in the yeast Saccharomyces cerevisiae
Background: Reverse-engineering regulatory networks is one of the central challenges for computational biology. Many techniques have been developed to accomplish this by utilizing...
Shawn Cokus, Sherri Rose, David Haynor, Niels Gr&o...