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» Gene Expression Data Management: A Case Study
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BMCBI
2008
98views more  BMCBI 2008»
15 years 6 months ago
Empirical Bayes models for multiple probe type microarrays at the probe level
Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...
Magnus Åstrand, Petter Mostad, Mats Rudemo
EVOW
2005
Springer
15 years 11 months ago
Order Preserving Clustering over Multiple Time Course Experiments
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
Stefan Bleuler, Eckart Zitzler
JCP
2006
157views more  JCP 2006»
15 years 6 months ago
CF-GeNe: Fuzzy Framework for Robust Gene Regulatory Network Inference
Most Gene Regulatory Network (GRN) studies ignore the impact of the noisy nature of gene expression data despite its significant influence upon inferred results. This paper present...
Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...
BMCBI
2005
114views more  BMCBI 2005»
15 years 6 months ago
Signal transduction pathway profiling of individual tumor samples
Background: Signal transduction pathways convey information from the outside of the cell to transcription factors, which in turn regulate gene expression. Our objective is to anal...
Thomas Breslin, Morten Krogh, Carsten Peterson, Ca...
IICAI
2007
15 years 7 months ago
Extractive Summarization in Clinical Trials Protocol Summaries: A Case Study
This paper presents a method for extracting purpose statements from clinical trial protocol summaries. Simple summarization technology based on regular expressions and natural lang...
Graciela Rosemblat, Laurel Graham, Tony Tse