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BIOINFORMATICS
2011
15 years 3 days ago
Integrative network alignment reveals large regions of global network similarity in yeast and human
Motivation: High-throughput methods for detecting molecular interactions have produced large sets of biological network data with much more yet to come. Analogous to sequence alig...
Oleksii Kuchaiev, Natasa Przulj
PAKDD
2005
ACM
160views Data Mining» more  PAKDD 2005»
15 years 10 months ago
Improving Mining Quality by Exploiting Data Dependency
The usefulness of the results produced by data mining methods can be critically impaired by several factors such as (1) low quality of data, including errors due to contamination, ...
Fang Chu, Yizhou Wang, Carlo Zaniolo, Douglas Stot...
PKDD
2010
Springer
128views Data Mining» more  PKDD 2010»
15 years 3 months ago
Learning to Tag from Open Vocabulary Labels
Most approaches to classifying media content assume a fixed, closed vocabulary of labels. In contrast, we advocate machine learning approaches which take advantage of the millions...
Edith Law, Burr Settles, Tom M. Mitchell
BMCBI
2004
140views more  BMCBI 2004»
15 years 5 months ago
What can we learn from noncoding regions of similarity between genomes?
Background: In addition to known protein-coding genes, large amounts of apparently non-coding sequence are conserved between the human and mouse genomes. It seems reasonable to as...
Thomas A. Down, Tim J. P. Hubbard
BIBE
2003
IEEE
183views Bioinformatics» more  BIBE 2003»
15 years 10 months ago
Effective Indexing and Filtering for Similarity Search in Large Biosequence Databases
We present a multi-dimensional indexing approach for fast sequence similarity search in DNA and protein databases. In particular, we propose effective transformations of subsequen...
Ozgur Ozturk, Hakan Ferhatosmanoglu