Sharhraki-Qadimi, Mehdi (2021) Sequence-based classification of human transcription factors into their ability to open chromatin. Masters thesis, University of Zabol.
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Abstract
Transcription factors are key proteins in regulating gene transcription. An important step in this process is to open the chromatin to create genomic regions for transcription. DNase I susceptibility data have already been used to represent a subset of transcription factors to describe their potential role in this process. These tags represent an interesting hypothesis about gene regulation and possibly a useful approach to data analysis, so we want to expand on a set of labeled transcription factors that may include many known factors. . Due to the limitations of laboratory methods, the results of these studies can lead to significant cost and time savings. In the present study, we use the annotated data set including 457 transcription factors as educational data using machine learning monitoring methods. We will then use the final classifier to label additional transcription factors according to their possible role in Pioneers, Settlers, and Migrants. The results obtained a complete set of labeled transcription factors to examine the characteristics and functions associated with each class, including the analysis of interaction data for transcription factors based on DNA co-binding and protein-protein interactions used and evolution in the prediction of each These features increase efficiency.
| Item Type: | Thesis (Masters) |
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| Uncontrolled Keywords: | Transcription factors, Chromatin opening, Machine learning, Classification |
| Subjects: | Q Science > QH Natural history > QH301 Biology |
| Depositing User: | Mrs najmeh khajeh |
| Date Deposited: | 02 Oct 2022 05:27 |
| Last Modified: | 02 Oct 2022 05:27 |
| URI: | http://eprints.uoz.ac.ir/id/eprint/3104 |
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