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» Learning Methods for DNA Binding in Computational Biology
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BMCBI
2006
114views more  BMCBI 2006»
13 years 7 months ago
BLISS: biding site level identification of shared signal-modules in DNA regulatory sequences
Background: Regulatory modules are segments of the DNA that control particular aspects of gene expression. Their identification is therefore of great importance to the field of mo...
Hailong Meng, Arunava Banerjee, Lei Zhou
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
IDA
2008
Springer
13 years 7 months ago
ExpertDiscovery system application for the hierarchical analysis of eukaryotic transcription regulatory regions based on DNA cod
We developed Relational Data Mining approach which allows to overcome essential limitations of the Data Mining and Knowledge Discovery techniques. In the paper the approach was im...
I. V. Khomicheva, Eugenii E. Vityaev, Elena A. Ana...
ICANN
2007
Springer
14 years 1 months ago
Identifying Binding Sites in Sequential Genomic Data
The identification of cis-regulatory binding sites in DNA is a difficult problem in computational biology. To obtain a full understanding of the complex machinery embodied in genet...
Mark Robinson, Cristina González Castellano...
BMCBI
2010
174views more  BMCBI 2010»
13 years 7 months ago
The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
Junbai Wang