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» Enhancing Commitment Machines
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BMCBI
2010
120views more  BMCBI 2010»
13 years 7 months ago
KiDoQ: using docking based energy scores to develop ligand based model for predicting antibacterials
Background: Identification of novel drug targets and their inhibitors is a major challenge in the field of drug designing and development. Diaminopimelic acid (DAP) pathway is a u...
Aarti Garg, Rupinder Tewari, Gajendra P. S. Raghav...
BMCBI
2010
97views more  BMCBI 2010»
13 years 7 months ago
SeqRate: sequence-based protein folding type classification and rates prediction
Background: Protein folding rate is an important property of a protein. Predicting protein folding rate is useful for understanding protein folding process and guiding protein des...
Guan Ning Lin, Zheng Wang, Dong Xu, Jianlin Cheng
BMCBI
2008
122views more  BMCBI 2008»
13 years 7 months ago
ESLpred2: improved method for predicting subcellular localization of eukaryotic proteins
Background: The expansion of raw protein sequence databases in the post genomic era and availability of fresh annotated sequences for major localizations particularly motivated us...
Aarti Garg, Gajendra P. S. Raghava
BMCBI
2006
126views more  BMCBI 2006»
13 years 7 months ago
A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
Background: As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heteroge...
Zizhen Yao, Walter L. Ruzzo
IDA
2008
Springer
13 years 7 months ago
Estimating the depth of anesthesia using fuzzy soft computation applied to EEG features
Estimating the depth of anesthesia (DOA) is still a challenging area in anesthesia research. The objective of this study was to design a fuzzy rule based system which integrates el...
V. Esmaeili, Amin Assareh, M. B. Shamsollahi, Moha...