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» Evaluation of clustering algorithms for gene expression data
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NAR
2011
214views Computer Vision» more  NAR 2011»
14 years 9 months ago
starBase: a database for exploring microRNA-mRNA interaction maps from Argonaute CLIP-Seq and Degradome-Seq data
MicroRNAs (miRNAs) represent an important class of small non-coding RNAs (sRNAs) that regulate gene expression by targeting messenger RNAs. However, assigning miRNAs to their regu...
Jian-Hua Yang, Jun-Hao Li, Peng Shao, Hui Zhou, Yu...
BMCBI
2007
131views more  BMCBI 2007»
15 years 6 months ago
FUNC: a package for detecting significant associations between gene sets and ontological annotations
Background: Genome-wide expression, sequence and association studies typically yield large sets of gene candidates, which must then be further analysed and interpreted. Informatio...
Kay Prüfer, Bjoern Muetzel, Hong Hai Do, Gunt...
EDBT
2004
ACM
192views Database» more  EDBT 2004»
16 years 6 months ago
LIMBO: Scalable Clustering of Categorical Data
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
Periklis Andritsos, Panayiotis Tsaparas, Ren&eacut...
CIKM
1999
Springer
15 years 11 months ago
Clustering Transactions Using Large Items
In traditional data clustering, similarity of a cluster of objects is measured by pairwise similarity of objects in that cluster. We argue that such measures are not appropriate f...
Ke Wang, Chu Xu, Bing Liu
BMCBI
2007
144views more  BMCBI 2007»
15 years 6 months ago
Accelerated search for biomolecular network models to interpret high-throughput experimental data
Background: The functions of human cells are carried out by biomolecular networks, which include proteins, genes, and regulatory sites within DNA that encode and control protein e...
Suman Datta, Bahrad A. Sokhansanj