Using association rule mining to determine promising secondary phenotyping hypotheses-Reference-Cited by-同舟云学术

Using association rule mining to determine promising secondary phenotyping hypotheses

Published:2014-06-11 Issue:12 Volume:30 Page:i52-i59
ISSN:1460-2059
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Oellrich Anika¹,Jacobsen Julius¹,Papatheodorou Irene¹,Smedley Damian¹,

Affiliation:

1. Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB1 10SA, UK

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/30/12/i52/17346414/btu260.pdf

Reference33 articles.

1. Fast discovery of association rules;Agrawal,1996

2. A new face and new challenges for Online Mendelian Inheritance in Man (OMIM®);Amberger;Hum. Mutat.,2011

3. Orphanet, an information site on rare diseases;Aymé;Soins,2003

4. Practical application of ontologies to annotate and analyse large scale raw mouse phenotype data;Beck;BMC Bioinformatics,2009

5. Efficient implementations of apriori and eclat;Borgelt,2003

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. mtDNA Single-Nucleotide Variants Associated with Type 2 Diabetes;Current Issues in Molecular Biology;2023-10-30

2. Predictive Nanotoxicology;Machine Learning in Chemical Safety and Health;2022-10-21

3. Usefulness of Vaccine Adverse Event Reporting System for Machine-Learning Based Vaccine Research: A Case Study for COVID-19 Vaccines;International Journal of Molecular Sciences;2022-07-26

4. An atlas of evidence-based phenotypic associations across the mouse phenome;Scientific Reports;2020-03-03

5. Data Clustering: Algorithms and Its Applications;2019 19th International Conference on Computational Science and Its Applications (ICCSA);2019-07