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» Clustering gene expression patterns
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BMCBI
2007
123views more  BMCBI 2007»
14 years 10 months ago
Robust clustering in high dimensional data using statistical depths
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilki...
ICDM
2002
IEEE
158views Data Mining» more  ICDM 2002»
15 years 2 months ago
Adaptive dimension reduction for clustering high dimensional data
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst...
CSB
2005
IEEE
124views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Discovering Functional Transcription Factor Binding from Superimposed Gene Networks
The availability of entire genome sequences, coupled with genome-wide studies of gene expression, offers promise for discovering new pathways along with their regulatory programs....
Matthew T. Weirauch, Joshua M. Stuart
MMAS
2010
Springer
14 years 4 months ago
Clustering and Classification through Normalizing Flows in Feature Space
A unified variational methodology is developed for classification and clustering problems, and tested in the classification of tumors from gene expression data. It is based on flu...
J. P. Agnelli, M. Cadeiras, E. G. Tabak, C. V. Tur...
BMCBI
2008
90views more  BMCBI 2008»
14 years 10 months ago
Genome-scale study of the importance of binding site context for transcription factor binding and gene regulation
Background: The rate of mRNA transcription is controlled by transcription factors that bind to specific DNA motifs in promoter regions upstream of protein coding genes. Recent res...
Jakub Orzechowski Westholm, Feifei Xu, Hans Ronne,...