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» Using sampling methods to improve binding site predictions
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BMCBI
2008
220views more  BMCBI 2008»
15 years 18 days ago
Gene prediction in metagenomic fragments: A large scale machine learning approach
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
78
Voted
JCC
2008
88views more  JCC 2008»
15 years 14 days ago
A self-organizing algorithm for molecular alignment and pharmacophore development
Abstract: We present a method for simultaneous three-dimensional (3D) structure generation and pharmacophorebased alignment using a self-organizing algorithm called Stochastic Prox...
Deepak Bandyopadhyay, Dimitris K. Agrafiotis
91
Voted
ISMB
1998
15 years 1 months ago
Prediction of Signal Peptides and Signal Anchors by a Hidden Markov Model
A hidden Markov model of signal peptides has been developed. It contains submodels for the N-terminal part, the hydrophobic region, and the region around the cleavage site. For kn...
Henrik Nielsen, Anders Krogh
138
Voted
BMCBI
2011
14 years 7 months ago
DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learning
Background: Accurate identification of protein domain boundaries is useful for protein structure determination and prediction. However, predicting protein domain boundaries from a...
Jesse Eickholt, Xin Deng, Jianlin Cheng
94
Voted
BMCBI
2008
83views more  BMCBI 2008»
15 years 18 days ago
Prioritization of gene regulatory interactions from large-scale modules in yeast
Background: The identification of groups of co-regulated genes and their transcription factors, called transcriptional modules, has been a focus of many studies about biological s...
Ho-Joon Lee, Thomas Manke, Ricardo Bringas, Martin...