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» Semantic Mining and Analysis of Gene Expression Data
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KDID
2004
140views Database» more  KDID 2004»
15 years 7 months ago
Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data
We are designing new data mining techniques on boolean contexts to identify a priori interesting bi-sets (i.e., sets of objects or transactions associated to sets of attributes or ...
Jérémy Besson, Céline Robarde...
SP
2008
IEEE
134views Security Privacy» more  SP 2008»
15 years 6 months ago
Discover gene specific local co-regulations from time-course gene expression data
Discovering gene co-regulatory relationships is one of most important research in DNA microarray data analysis. The problem of gene specific co-regulation discovery is to, for a p...
Ji Zhang, Qigang Gao, Hai H. Wang
BMCBI
2005
116views more  BMCBI 2005»
15 years 5 months ago
Which gene did you mean?
Computational Biology needs computer-readable information records. Increasingly, meta-analysed and pre-digested information is being used in the follow up of high throughput exper...
Barend Mons
BIBE
2003
IEEE
121views Bioinformatics» more  BIBE 2003»
15 years 11 months ago
Time Series Analysis of Gene Expression and Location Data
We develop a method for integrating time series expression profiles and factor-gene binding data to quantify dynamic aspects of gene regulation. We estimate latencies for transcr...
Chen-Hsiang Yeang, Tommi Jaakkola
BMCBI
2008
115views more  BMCBI 2008»
15 years 6 months ago
Principal components analysis based methodology to identify differentially expressed genes in time-course microarray data
Background: Time-course microarray experiments are being increasingly used to characterize dynamic biological processes. In these experiments, the goal is to identify genes differ...
Sudhakar Jonnalagadda, Rajagopalan Srinivasan