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BMCBI
2007
141views more  BMCBI 2007»
13 years 7 months ago
Artificial neural network models for prediction of intestinal permeability of oligopeptides
Background: Oral delivery is a highly desirable property for candidate drugs under development. Computational modeling could provide a quick and inexpensive way to assess the inte...
Eunkyoung Jung, Junhyoung Kim, Minkyoung Kim, Dong...
CORR
2011
Springer
183views Education» more  CORR 2011»
12 years 11 months ago
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Foster J. Provost, Gary M. Weiss
BIBM
2008
IEEE
113views Bioinformatics» more  BIBM 2008»
14 years 2 months ago
Towards Site-Based Protein Functional Annotations
Abstract—The exact relationship between protein active centers and protein functions is unclear even after decades of intensive study. To improve the functional prediction abilit...
Seak Fei Lei, Jun Huan
BMCBI
2010
123views more  BMCBI 2010»
13 years 7 months ago
A new protein binding pocket similarity measure based on comparison of clouds of atoms in 3D: application to ligand prediction
Background: Predicting which molecules can bind to a given binding site of a protein with known 3D structure is important to decipher the protein function, and useful in drug desi...
Brice Hoffmann, Mikhail Zaslavskiy, Jean-Philippe ...
IWPSE
2007
IEEE
14 years 2 months ago
Improving defect prediction using temporal features and non linear models
Predicting the defects in the next release of a large software system is a very valuable asset for the project manger to plan her resources. In this paper we argue that temporal f...
Abraham Bernstein, Jayalath Ekanayake, Martin Pinz...