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» Probabilistic topic modeling for genomic data interpretation
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BMCBI
2006
147views more  BMCBI 2006»
14 years 9 months ago
A hidden Markov model approach for determining expression from genomic tiling micro arrays
Background: Genomic tiling micro arrays have great potential for identifying previously undiscovered coding as well as non-coding transcription. To-date, however, analyses of thes...
Kasper Munch, Paul P. Gardner, Peter Arctander, An...
KDD
2006
ACM
141views Data Mining» more  KDD 2006»
15 years 9 months ago
Statistical entity-topic models
The primary purpose of news articles is to convey information about who, what, when and where. But learning and summarizing these relationships for collections of thousands to mil...
David Newman, Chaitanya Chemudugunta, Padhraic Smy...
AND
2009
14 years 7 months ago
Discovering voter preferences in blogs using mixtures of topic models
In this paper we propose a new approach to capture the inclination towards a certain election candidate from the contents of blogs and to explain why that inclination may be so. T...
Pradipto Das, Rohini K. Srihari, Smruthi Mukund
JCDL
2010
ACM
184views Education» more  JCDL 2010»
15 years 2 months ago
Evaluating topic models for digital libraries
Topic models could have a huge impact on improving the ways users find and discover content in digital libraries and search interfaces, through their ability to automatically lea...
David Newman, Youn Noh, Edmund M. Talley, Sarvnaz ...
RECOMB
2001
Springer
15 years 9 months ago
Context-specific Bayesian clustering for gene expression data
The recent growth in genomic data and measurements of genome-wide expression patterns allows us to apply computational tools to examine gene regulation by transcription factors. I...
Yoseph Barash, Nir Friedman