A Semi-Supervised Predictive Model to Link Regulatory Regions to Their Target Genes

A Semi-Supervised Predictive Model to Link Regulatory Regions to Their Target Genes

<p>Next generation sequencing technologies have provided us with a wealth of data profiling a diverse range of biological processes. In an effort to better understand the process of gene regulation, two predictive machine learning models specifically tailored for analyzing gene transcription a...

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Bibliographic Details
Main Author: Hafez, Dina Mohamed
Other Authors: Ohler, Uwe
Published: 2015
Subjects:
Computer science
Bioinformatics
Gene regulation
Interpolated Markov model
Machine learning
Semi-supervised learning
SVM
Transcriptional enhancers
Online Access:http://hdl.handle.net/10161/11314

Internet

http://hdl.handle.net/10161/11314

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