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» Algorithms for Finding Gene Clusters
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PAKDD
2010
ACM
203views Data Mining» more  PAKDD 2010»
15 years 8 months ago
Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph
Both itemset mining and graph mining have been studied independently. Here, we introduce a novel data structure, which is an unweighted graph whose vertices contain itemsets. From ...
Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun S...
112
Voted
ISMB
2000
15 years 4 months ago
A Statistical Method for Finding Transcription Factor Binding Sites
Understanding the mechanismsthat determine the regulation of geneexpression is an important and challenging problem. A fundamental subproblem is to identify DNA-bindingsites for u...
Saurabh Sinha, Martin Tompa
ICPR
2006
IEEE
16 years 4 months ago
A Hybrid, Recursive Algorithm for Clustering Expressed Sequence Tags in Chlamydomonas reinhardtii
We present an efficient, fully automated algorithm to assemble ESTs into full-length cDNA sequences that represent the complete coding regions of a gene. Our EST clustering algori...
Arthur Grossman, Charles Hauser, Hilary J. Holz, J...
136
Voted
ACIVS
2008
Springer
15 years 9 months ago
Knee Point Detection in BIC for Detecting the Number of Clusters
Bayesian Information Criterion (BIC) is a promising method for detecting the number of clusters. It is often used in model-based clustering in which a decisive first local maximum ...
Qinpei Zhao, Ville Hautamäki, Pasi Fränt...
100
Voted
IJCNN
2008
IEEE
15 years 9 months ago
Ranking and selecting clustering algorithms using a meta-learning approach
Abstract— We present a novel framework that applies a metalearning approach to clustering algorithms. Given a dataset, our meta-learning approach provides a ranking for the candi...
Marcílio Carlos Pereira de Souto, Ricardo B...