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» On Complexity of Easy Predictable Sequences
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BMCBI
2010
167views more  BMCBI 2010»
13 years 7 months ago
Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach
Background: Transcriptional gene regulation is one of the most important mechanisms in controlling many essential cellular processes, including cell development, cell-cycle contro...
Marc Bailly-Bechet, Alfredo Braunstein, Andrea Pag...
BMCBI
2006
108views more  BMCBI 2006»
13 years 7 months ago
SPIDer: Saccharomyces protein-protein interaction database
Background: Since proteins perform their functions by interacting with one another and with other biomolecules, reconstructing a map of the protein-protein interactions of a cell,...
Xiaomei Wu, Lei Zhu, Jie Guo, Cong Fu, Hongjun Zho...
JMLR
2008
230views more  JMLR 2008»
13 years 7 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
BMCBI
2006
124views more  BMCBI 2006»
13 years 7 months ago
HybGFS: a hybrid method for genome-fingerprint scanning
Background: Protein identification based on mass spectrometry (MS) has previously been performed using peptide mass fingerprinting (PMF) or tandem MS (MS/MS) database searching. H...
Kosaku Shinoda, Nozomu Yachie, Takeshi Masuda, Nao...
JCB
2008
159views more  JCB 2008»
13 years 7 months ago
BayesMD: Flexible Biological Modeling for Motif Discovery
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Man-Hung Eric Tang, Anders Krogh, Ole Winther