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» Measuring Similarity between Sets of Overlapping Clusters
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DILS
2008
Springer
14 years 11 months ago
Semi Supervised Spectral Clustering for Regulatory Module Discovery
We propose a novel semi-supervised clustering method for the task of gene regulatory module discovery. The technique uses data on dna binding as prior knowledge to guide the proces...
Alok Mishra, Duncan Gillies
ICDE
2006
IEEE
167views Database» more  ICDE 2006»
15 years 11 months ago
Mining Shifting-and-Scaling Co-Regulation Patterns on Gene Expression Profiles
In this paper, we propose a new model for coherent clustering of gene expression data called reg-cluster. The proposed model allows (1) the expression profiles of genes in a clust...
Xin Xu, Ying Lu, Anthony K. H. Tung, Wei Wang 0010
AAAI
2010
14 years 11 months ago
Gaussian Mixture Model with Local Consistency
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
Jialu Liu, Deng Cai, Xiaofei He
SIGMETRICS
1998
ACM
127views Hardware» more  SIGMETRICS 1998»
14 years 9 months ago
On Calibrating Measurements of Packet Transit Times
We discuss the problem of detecting errors in measurements of the total delay experienced by packets transmitted through a wide-area network. We assume that we have measurements o...
Vern Paxson
ACML
2009
Springer
15 years 4 months ago
Automatic Choice of Control Measurements
Abstract. In experimental design, a standard approach for distinguishing experimentally induced effects from unwanted effects is to design control measurements that differ only ...
Gayle Leen, David R. Hardoon, Samuel Kaski