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JCB
2008
159views more  JCB 2008»
15 years 4 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
CIARP
2009
Springer
15 years 11 months ago
Analysis of the GRNs Inference by Using Tsallis Entropy and a Feature Selection Approach
Abstract. An important problem in the bioinformatics field is to understand how genes are regulated and interact through gene networks. This knowledge can be helpful for many appl...
Fabrício Martins Lopes, Evaldo A. de Olivei...
BMCBI
2008
166views more  BMCBI 2008»
15 years 4 months ago
Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
Peter A. DiMaggio Jr., Scott R. McAllister, Christ...
CIBCB
2006
IEEE
15 years 10 months ago
A Systematic Computational Approach for Transcription Factor Target Gene Prediction
— Computational prediction of transcription factor’s binding sites and regulatory target genes has great value to the biological studies of cellular process. Existing practices...
Ji He, Xinbin Dai, Xuechun Zhao
ICASSP
2011
IEEE
14 years 8 months ago
Uncover cooperative gene regulations by microRNAs and transcription factors in glioblastoma using a nonnegative hybrid factor mo
—Transcriptional regulation by transcription factors (TFs) and microRNAs controls when and how much RNA is created. Due to technical limitations, the protein level expressions of...
Jia Meng, Hung-I Harry Chen, Jianqiu Zhang, Yidong...