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» Mining Quantitative Association Rules in Protein Sequences
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AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
13 years 8 months ago
Mining Quantitative Association Rules in Protein Sequences
Abstract. Lot of research has gone into understanding the composition and nature of proteins, still many things remain to be understood satisfactorily. It is now generally believed...
Nitin Gupta, Nitin Mangal, Kamal Tiwari, Pabitra M...
BIBE
2009
IEEE
126views Bioinformatics» more  BIBE 2009»
13 years 11 months ago
Mining Positional Association Super-Rules on Fixed-Size Protein Sequence Motifs
— Protein sequence motifs information is crucial to the analysis of biologically significant regions. The conserved regions have the potential to determine the role of the protei...
Bernard Chen, Sinan Kockara
BMCBI
2006
144views more  BMCBI 2006»
13 years 4 months ago
Association algorithm to mine the rules that govern enzyme definition and to classify protein sequences
Background: The number of sequences compiled in many genome projects is growing exponentially, but most of them have not been characterized experimentally. An automatic annotation...
Shih-Hau Chiu, Chien-Chi Chen, Gwo-Fang Yuan, Thy-...
KDD
2003
ACM
190views Data Mining» more  KDD 2003»
14 years 4 months ago
Distance-enhanced association rules for gene expression
We introduce a novel data mining technique for the analysis of gene expression. Gene expression is the effective production of the protein that a gene encodes. We focus on the cha...
Aleksandar Icev, Carolina Ruiz, Elizabeth F. Ryder
ACMSE
2007
ACM
13 years 8 months ago
Finding association rules of cis-regulatory elements involved in alternative splicing
Alternative splicing (AS) is a major mechanism to generate protein diversity. A single gene might generate hundreds or even thousands of different proteins. Recently, powerful lar...
Jihye Kim, Sihui Zhao, Steffen Heber