Sciweavers

36 search results - page 1 / 8
» A Protein Interaction Verification System Based on a Neural ...
Sort
View
CSB
2005
IEEE
118views Bioinformatics» more  CSB 2005»
13 years 10 months ago
A Protein Interaction Verification System Based on a Neural Network Algorithm
Large amounts of protein-protein interaction data have been identified using various genome-scale screening techniques. Although interaction data is a valuable resource, high-thro...
Min Su Lee, Seung-Soo Park, Min Kyung Kim
APBC
2004
166views Bioinformatics» more  APBC 2004»
13 years 6 months ago
A Novel Method for Protein Subcellular Localization Based on Boosting and Probabilistic Neural Network.
Subcellular localization is a key functional characteristic of proteins. An automatic, reliable and efficient prediction system for protein subcellular localization is needed for ...
Jian Guo, Yuanlie Lin, Zhirong Sun
BMCBI
2005
126views more  BMCBI 2005»
13 years 4 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
2010
174views more  BMCBI 2010»
13 years 4 months ago
The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
Junbai Wang
BMCBI
2010
102views more  BMCBI 2010»
12 years 11 months ago
Predicting protein-protein interactions in unbalanced data using the primary structure of proteins
Background: Elucidating protein-protein interactions (PPIs) is essential to constructing protein interaction networks and facilitating our understanding of the general principles ...
Chi-Yuan Yu, Lih-Ching Chou, Darby Tien-Hao Chang