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» Using Multiple Alignments to Improve Gene Prediction
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132
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BMCBI
2007
142views more  BMCBI 2007»
15 years 3 months ago
Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary informa
Background: In past number of methods have been developed for predicting subcellular location of eukaryotic, prokaryotic (Gram-negative and Gram-positive bacteria) and human prote...
Mamoon Rashid, Sudipto Saha, Gajendra P. S. Raghav...
120
Voted
BMCBI
2007
120views more  BMCBI 2007»
15 years 3 months ago
Non-coding sequence retrieval system for comparative genomic analysis of gene regulatory elements
Background: Completion of the human genome sequence along with other species allows for greater understanding of the biochemical mechanisms and processes that govern healthy as we...
Sung Tae Doh, Yunyu Zhang, Matthew H. Temple, Li C...
126
Voted
BMCBI
2008
129views more  BMCBI 2008»
15 years 3 months ago
Prediction of the outcome of preoperative chemotherapy in breast cancer using DNA probes that provide information on both comple
Background: DNA microarray technology has emerged as a major tool for exploring cancer biology and solving clinical issues. Predicting a patient's response to chemotherapy is...
René Natowicz, Roberto Incitti, Euler Guima...
138
Voted
RECOMB
2004
Springer
16 years 4 months ago
Designing multiple simultaneous seeds for DNA similarity search
The challenge of similarity search in massive DNA sequence databases has inspired major changes in BLAST-style alignment tools, which accelerate search by inspecting only pairs of...
Yanni Sun, Jeremy Buhler
118
Voted
ICTAI
2007
IEEE
15 years 10 months ago
Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression
In this paper we present a method for classifying accurately SAGE (Serial Analysis of Gene Expression) data. The high dimensionality of the data, namely the large number of featur...
George Tzanis, Ioannis P. Vlahavas