Statistical representation models for mutation information within genomic data

Statistical representation models for mutation information within genomic data

Abstract Background As DNA sequencing technologies are improving and getting cheaper, genomic data can be utilized for diagnosis of many diseases such as cancer. Human raw genome data is huge in size for computational systems. Therefore, there is a need for a compact and accurate representation of t...

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Bibliographic Details
Main Authors: N. Özlem ÖZCAN ŞİMŞEK, Arzucan ÖZGÜR, Fikret GÜRGEN
Format: Article
Language:English
Published: BMC 2019-06-01
Series:BMC Bioinformatics
Subjects:
Information retrieval
Machine learning
tf-idf
tf-rf
BM25
DNA mutations
Online Access:http://link.springer.com/article/10.1186/s12859-019-2868-4

Internet

http://link.springer.com/article/10.1186/s12859-019-2868-4

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