DMET-Miner: Efficient discovery of association rules from pharmacogenomic data-Reference-Cited by-同舟云学术

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DMET-Miner: Efficient discovery of association rules from pharmacogenomic data

Published:2015-08 Issue: Volume:56 Page:273-283
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Agapito Giuseppe,Guzzi Pietro H.,Cannataro Mario

Funder

Italian Ministry of Education and Research (MIUR): “DICET-INMOTO-ORCHESTRA”

“BA2Know-Business Analytics to Know”

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference19 articles.

1. Mining association rules between sets of items in large databases;Agrawal;SIGMOD Rec.,1993

2. N. Alonso, G. Lucas, P. Hysi, Big Data Challenges in Bone Research: Genome-wide Association Studies and Next-generation Sequencing, BoneKEy Reports 4, 2015.

3. Data mining and life sciences applications on the grid;Cannataro;Wiley Interdiscip. Rev.: Data Min. Knowl. Discov.,2013

4. A survey on algorithms for mining frequent itemsets over data streams;Cheng;Knowl. Inform. Syst.,2008

5. A peroxisome proliferator-activated receptor gamma (pparg) polymorphism is associated with zoledronic acid-related osteonecrosis of the jaw in multiple myeloma patients: analysis by dmet microarray profiling;Di Martino;Br. J. Haematol.,2011

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