Discovering interesting associations from SNP-trait data

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URL

Journal Title

Journal ISSN

Volume Title

Perustieteiden korkeakoulu | Master's thesis

Date

2022-07-29

Department

Major/Subject

Machine Learning, Data Science and Artificial Intelligence

Mcode

SCI3044

Degree programme

Master’s Programme in Computer, Communication and Information Sciences

Language

en

Pages

60 + 10

Series

Description

Supervisor

Hämäläinen, Wilhelmiina

Thesis advisor

Hämäläinen, Wilhelmiina

Keywords

association rule mining, bioinformatics, data mining, single nucleotide polymorphism

Other note

Citation