Identifying genome-wide transcription units from histone modifications using EPIGENE

Identifying genome-wide transcription units from histone modifications using EPIGENE

With the successful completion of the human genome project and the rapid development of sequencing technologies, transcriptome annotation across multiple human cell types and tissues is now available. Accurate transcriptome annotation is critical for understanding the functional as well as the regul...

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Bibliographic Details
Main Author: Sahu, Anshupa
Contributors: Chung, Ho-Ryun (Prof. Dr.) (Thesis advisor)
Format: Doctoral Thesis
Language:English
Published: Philipps-Universität Marburg 2021
Subjects:
verdecktes Markowmodell
Medizin
maschinelles Lernen
Epigenetik
Epigenetics
Machine Learning
Hidden Markov Model
Bioinformatik
Bioinformatics
Medical sciences Medicine
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