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ECML
2006
Springer
15 years 1 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
CSB
2003
IEEE
130views Bioinformatics» more  CSB 2003»
15 years 3 months ago
A Computational Approach to Reconstructing Gene Regulatory Networks
Reverse-engineering of gene networks using linear models often results in an underdetermined system because of excessive unknown parameters. In addition, the practical utility of ...
Xutao Deng, Hesham H. Ali
BMCBI
2008
158views more  BMCBI 2008»
14 years 10 months ago
Analyzing M-CSF dependent monocyte/macrophage differentiation: Expression modes and meta-modes derived from an independent compo
Background: The analysis of high-throughput gene expression data sets derived from microarray experiments still is a field of extensive investigation. Although new approaches and ...
Dominik Lutter, Peter Ugocsai, Margot Grandl, Evel...
BMCBI
2007
129views more  BMCBI 2007»
14 years 10 months ago
Integrated network reconstruction, visualization and analysis using YANAsquare
Background: Modeling of metabolic networks includes tasks such as network assembly, network overview, calculation of metabolic fluxes and testing the robustness of the network. Re...
Roland Schwarz, Chunguang Liang, Christoph Kaleta,...
BMCBI
2008
189views more  BMCBI 2008»
14 years 10 months ago
AnEnPi: identification and annotation of analogous enzymes
Background: Enzymes are responsible for the catalysis of the biochemical reactions in metabolic pathways. Analogous enzymes are able to catalyze the same reactions, but they prese...
Thomas D. Otto, Ana Carolina R. Guimarães, ...