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» Application of machine learning in SNP discovery
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BMCBI
2006
134views more  BMCBI 2006»
13 years 4 months ago
Application of machine learning in SNP discovery
Background: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given ...
Lakshmi K. Matukumalli, John J. Grefenstette, Davi...
BMCBI
2006
140views more  BMCBI 2006»
13 years 4 months ago
SNP-PHAGE - High throughput SNP discovery pipeline
Background: Single nucleotide polymorphisms (SNPs) as defined here are single base sequence changes or short insertion/deletions between or within individuals of a given species. ...
Lakshmi K. Matukumalli, John J. Grefenstette, Davi...
ICALT
2005
IEEE
13 years 10 months ago
Discovery Service for User Models in a Multi-Application Context
In order to efficiently manage and use of the information on the Web it becomes crucial to provide personalization not only within single systems, but across various web applicati...
Vadim I. Chepegin, Lora Aroyo, Paul De Bra
WEBDB
2009
Springer
115views Database» more  WEBDB 2009»
13 years 11 months ago
A Machine Learning Approach to Foreign Key Discovery
We study the problem of automatically discovering semantic associations between schema elements, namely foreign keys. This problem is important in all applications where data sets...
Alexandra Rostin, Oliver Albrecht, Jana Bauckmann,...
ICML
2009
IEEE
14 years 5 months ago
Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery
We develop a cyclical blockwise coordinate descent algorithm for the multi-task Lasso that efficiently solves problems with thousands of features and tasks. The main result shows ...
Han Liu, Mark Palatucci, Jian Zhang