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BMCBI
2010
151views more  BMCBI 2010»
15 years 6 months ago
Data reduction for spectral clustering to analyze high throughput flow cytometry data
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
Habil Zare, Parisa Shooshtari, Arvind Gupta, Ryan ...
BMCBI
2007
97views more  BMCBI 2007»
15 years 6 months ago
SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets
Background: Array comparative genome hybridization (aCGH) provides information about genomic aberrations. Alterations in the DNA copy number may cause the cell to malfunction, lea...
Carmen Lai, Hugo M. Horlings, Marc J. van de Vijve...
BMCBI
2008
130views more  BMCBI 2008»
15 years 6 months ago
An enhanced partial order curve comparison algorithm and its application to analyzing protein folding trajectories
Background: Understanding how proteins fold is essential to our quest in discovering how life works at the molecular level. Current computation power enables researchers to produc...
Hong Sun, Hakan Ferhatosmanoglu, Motonori Ota, Yus...
BMCBI
2007
123views more  BMCBI 2007»
15 years 6 months ago
Heritable clustering and pathway discovery in breast cancer integrating epigenetic and phenotypic data
Background: In order to recapitulate tumor progression pathways using epigenetic data, we developed novel clustering and pathway reconstruction algorithms, collectively referred t...
Zailong Wang, Pearlly Yan, Dustin P. Potter, Chari...
BMCBI
2007
106views more  BMCBI 2007»
15 years 6 months ago
Mining prokaryotic genomes for unknown amino acids: a stop-codon-based approach
Background: Selenocysteine and pyrrolysine are the 21st and 22nd amino acids, which are genetically encoded by stop codons. Since a number of microbial genomes have been completel...
Masashi Fujita, Hisaaki Mihara, Susumu Goto, Nobuy...
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