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» Evaluation of clustering algorithms for gene expression data
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BMCBI
2005
122views more  BMCBI 2005»
15 years 6 months ago
FACT - a framework for the functional interpretation of high-throughput experiments
Background: Interpreting the results of high-throughput experiments, such as those obtained from DNA-microarrays, is an often time-consuming task due to the high number of data-po...
Felix Kokocinski, Nicolas Delhomme, Gunnar Wrobel,...
ICASSP
2008
IEEE
16 years 1 months ago
Unsupervised validity measures for vocalization clustering
This paper describes unsupervised speech/speaker cluster validity measures based on a dissimilarity metric, for the purpose of estimating the number of clusters in a speech data s...
Kuntoro Adi, Kristine E. Sonstrom, Peter M. Scheif...
BMCBI
2010
208views more  BMCBI 2010»
15 years 6 months ago
A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...
Pengyi Yang, Bing Bing Zhou, Zili Zhang, Albert Y....
ISBI
2011
IEEE
14 years 10 months ago
Automated lineage tree reconstruction from Caenorhabditis elegans image data using particle filtering based cell tracking
Caenorhabditis elegans is an important model organism for the study of molecular mechanisms of development and disease processes, due to its well-known genome and invariant cell l...
Noemí Carranza-Herrezuelo, Ihor Smal, Oleh ...
KDD
2003
ACM
145views Data Mining» more  KDD 2003»
16 years 7 months ago
Carpenter: finding closed patterns in long biological datasets
The growth of bioinformatics has resulted in datasets with new characteristics. These datasets typically contain a large number of columns and a small number of rows. For example,...
Feng Pan, Gao Cong, Anthony K. H. Tung, Jiong Yang...