Mining DNA sequences to predict sites which mutations cause genetic diseases-Reference-Cited by-同舟云学术

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Mining DNA sequences to predict sites which mutations cause genetic diseases

Published:2002-05 Issue:4 Volume:15 Page:225-233
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Ponomarenko Julia,Merkulova Tatyana,Orlova Galina,Fokin Oleg,Gorshkov Elena,Ponomarenko Mikhail

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference26 articles.

1. Single-nucleotide polymorphisms in the public domain: how useful are they?;Marth;Nat. Genet.,2001

2. Discovering and understanding genes in human DNA sequence using GRAIL;Uberbacher;Methods Enzymol.,1996

3. Point mutations within 663-666 bp of intron 6 of the human TDO2 gene, associated with a number of psychiatric disorders, damage the YY-1 transcription factor binding site;Vasiliev;FEBS Lett.,1999

4. Automated extraction of information in molecular biology;Andrade;FEBS Lett.,2000

5. Mining of biological data II: assessing data structure and class homogeneity by cluster analysis;Kamimura;Metab. Eng.,2000

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3. Ranked k-medoids: A fast and accurate rank-based partitioning algorithm for clustering large datasets;Knowledge-Based Systems;2013-02

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5. MINING GENOME VARIATION TO ASSOCIATE GENETIC DISEASE WITH MUTATION ALTERATIONS AND ORTHO/PARALOGOUS POLIMORPHYSMS IN TRANSCRIPTION FACTOR BINDING SITE;International Journal on Artificial Intelligence Tools;2005-08

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