Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
We present a novel gene finding and validation tool, called GeneScope, which is capable of finding and validating genes declaratively by autonomously integrating heterogeneous onl...
Abstract. A fundamental problem in computational biology is the determination of the correct species tree for a set of taxa given a set of possibly contradictory gene trees. In rec...
Michael R. Fellows, Michael T. Hallett, Ulrike Ste...
Currently, the cDNA and genomic sequence projects are processing at such a rapid rate that more and more gene data become available. New methods are needed to efficiently and eff...
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
Abstract. The responses of flexible bionetworks to extreme environmental changes were studied in several microorganisms. Gene and metabolic networks markedly changed with osmotic ...
This paper describes an application of IR and text categorization methods to a highly practical problem in biomedicine, specifically, Gene Ontology (GO) annotation. GO annotation...
Functionally related genes co-evolve, probably due to the strong selection pressure in evolution. Thus we expect that they are present in multiple genomes. Physical proximity amon...
— In this paper we address the problem of predicting gene activities by finding gene regulatory dependencies in experimental DNA microarray data. Only few approaches to infer th...
Christian Spieth, Felix Streichert, Nora Speer, Ch...
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...