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» Gene Expression Clustering with Functional Mixture Models
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BMCBI
2010
110views more  BMCBI 2010»
13 years 9 months ago
TimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach
Background: One of main aims of Molecular Biology is the gain of knowledge about how molecular components interact each other and to understand gene function regulations. Using mi...
Pietro Zoppoli, Sandro Morganella, Michele Ceccare...
RECOMB
2002
Springer
14 years 9 months ago
A bayesian approach to transcript estimation from gene array data: the BEAM technique
We present a new statistically optimal approach to estimate transcript levels and ratios from one or more gene array experiments. The Bayesian Estimation of Array Measurements (BE...
Ron O. Dror, Jonathan G. Murnick, Nicola A. Rinald...
JCB
2008
90views more  JCB 2008»
13 years 9 months ago
A Simple Model of the Modular Structure of Transcriptional Regulation in Yeast
Resolving the general organizational principles that govern the interactions during transcriptional gene regulation has great relevance for understanding disease progression, biof...
Vladimir Filkov, Nameeta Shah
ICASSP
2011
IEEE
13 years 25 days ago
A mutual information based approach for evaluating the quality of clustering
In this paper, a new method for evaluating the quality of clustering of genes is proposed based on mutual information criterion. Instead of using the conventional histogram-based ...
Shaikh Anowarul Fattah, Chia-Chun Lin, Sun-Yuan Ku...
ICASSP
2011
IEEE
13 years 25 days 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...