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» The Characterization of Data-Accumulating Algorithms
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BMCBI
2007
128views more  BMCBI 2007»
14 years 10 months ago
A robust and efficient algorithm for the shape description of protein structures and its application in predicting ligand bindin
Background: An accurate description of protein shape derived from protein structure is necessary to establish an understanding of protein-ligand interactions, which in turn will l...
Lei Xie, Philip E. Bourne
BMCBI
2005
126views more  BMCBI 2005»
14 years 9 months ago
GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Robert G. Beiko, Robert L. Charlebois
BMCBI
2011
14 years 5 months ago
MRCQuant- an accurate LC/MS relative isotopic quantification algorithm on TOF instruments
Background: Relative isotope abundance quantification, which can be used for peptide identification and differential peptide quantification, plays an important role in liquid chro...
William H. Haskins, Konstantinos Petritis, Jianqiu...
RECOMB
2010
Springer
15 years 4 months ago
A Novel Abundance-Based Algorithm for Binning Metagenomic Sequences Using l-Tuples
Abstract. Metagenomics is the study of microbial communities sampled directly from their natural environment, without prior culturing. Among the computational tools recently develo...
Yu-Wei Wu, Yuzhen Ye
DIS
2009
Springer
15 years 4 months ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba