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115
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KDD
2003
ACM
145views Data Mining» more  KDD 2003»
16 years 3 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...
129
Voted
PRIB
2009
Springer
135views Bioinformatics» more  PRIB 2009»
15 years 10 months ago
Sequential Hierarchical Pattern Clustering
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Bassam Farran, Amirthalingam Ramanan, Mahesan Nira...
CSB
2005
IEEE
130views Bioinformatics» more  CSB 2005»
15 years 9 months ago
Integration of RNA Search methods for Identifying Novel Riboswitch Patterns in Eukaryotes
Riboswitches are RNA genetic control elements that were recently discovered in living cells. To regulate gene expression, they utilize a unique mechanism whereby small molecules b...
Adaya N. Cohen, Klara Kedem, Michal Shapira, Danny...
CSB
2005
IEEE
139views Bioinformatics» more  CSB 2005»
15 years 9 months ago
Open Microscopy Environment
High-throughput scoring of image-based biological assays heavily depends on the extraction of quantitative numerical information from microscopy images. This paper describes how t...
Ilya G. Goldberg
BIBE
2009
IEEE
131views Bioinformatics» more  BIBE 2009»
15 years 6 months ago
Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
Zong-Xian Yin