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» Learning from Highly Structured Data by Decomposition
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NAR
2007
91views more  NAR 2007»
15 years 3 months ago
RNABindR: a server for analyzing and predicting RNA-binding sites in proteins
Understanding interactions between proteins and RNA is key to deciphering the mechanisms of many important biological processes. Here we describe RNABindR, a web-based server that...
Michael Terribilini, Jeffry D. Sander, Jae-Hyung L...
BMCBI
2008
149views more  BMCBI 2008»
15 years 4 months ago
All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning
Background: Automated extraction of protein-protein interactions (PPI) is an important and widely studied task in biomedical text mining. We propose a graph kernel based approach ...
Antti Airola, Sampo Pyysalo, Jari Björne, Tap...
FLAIRS
2004
15 years 5 months ago
Case-Based Bayesian Network Classifiers
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Eugene Santos, Ahmed Huessin
173
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BMCBI
2011
14 years 7 months ago
A fast and accurate method to detect allelic genomic imbalances underlying mosaic rearrangements using SNP array data
Background: Mosaicism for copy number and copy neutral chromosomal rearrangements has been recently identified as a relatively common source of genetic variation in the normal pop...
Juan R. González, Benjamin Rodriguez-Santia...
WWW
2007
ACM
16 years 4 months ago
Learning information intent via observation
Workers in organizations frequently request help from assistants by sending request messages that express information intent: an intention to update data in an information system....
Anthony Tomasic, Isaac Simmons, John Zimmerman