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BMCBI
2008
93views more  BMCBI 2008»
15 years 6 months ago
Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throug
Background: The recent emergence of high-throughput automated image acquisition technologies has forever changed how cell biologists collect and analyze data. Historically, the in...
Zheng Yin, Xiaobo Zhou, Chris Bakal, Fuhai Li, You...
CGF
2010
121views more  CGF 2010»
15 years 6 months ago
GraphDice: A System for Exploring Multivariate Social Networks
Social networks collected by historians or sociologists typically have a large number of actors and edge attributes. Applying social network analysis (SNA) algorithms to these net...
Anastasia Bezerianos, Fanny Chevalier, Pierre Drag...
BMCBI
2006
167views more  BMCBI 2006»
15 years 6 months ago
GOurmet: A tool for quantitative comparison and visualization of gene expression profiles based on gene ontology (GO) distributi
Background: The ever-expanding population of gene expression profiles (EPs) from specified cells and tissues under a variety of experimental conditions is an important but difficu...
Jason M. Doherty, Lynn K. Carmichael, Jason C. Mil...
BMCBI
2006
182views more  BMCBI 2006»
15 years 6 months ago
A database and tool, IM Browser, for exploring and integrating emerging gene and protein interaction data for Drosophila
Background: Biological processes are mediated by networks of interacting genes and proteins. Efforts to map and understand these networks are resulting in the proliferation of int...
Svetlana Pacifico, Guozhen Liu, Stephen Guest, Jod...
ENGL
2007
180views more  ENGL 2007»
15 years 6 months ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar