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BMCBI
2007
147views more  BMCBI 2007»
13 years 7 months ago
Predicting combinatorial binding of transcription factors to regulatory elements in the human genome by association rule mining
Background: Cis-acting transcriptional regulatory elements in mammalian genomes typically contain specific combinations of binding sites for various transcription factors. Althoug...
Xochitl C. Morgan, Shulin Ni, Daniel P. Miranker, ...
CORR
2010
Springer
172views Education» more  CORR 2010»
13 years 5 months ago
Integrating User's Domain Knowledge with Association Rule Mining
This paper presents a variation of Apriori algorithm that includes the role of domain expert to guide and speed up the overall knowledge discovery task. Usually, the user is inter...
Vikram Singh, Sapna Nagpal
ICDM
2003
IEEE
127views Data Mining» more  ICDM 2003»
14 years 21 days ago
A High-Performance Distributed Algorithm for Mining Association Rules
Abstract. We present a new distributed association rule mining (D-ARM) algorithm that demonstrates superlinear speed-up with the number of computing nodes. The algorithm is the fi...
Assaf Schuster, Ran Wolff, Dan Trock
AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
13 years 11 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»
14 years 2 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