Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/548026
Title: | Modeling Human Genomes Using Albebraic Topology of BioMolecules |
Researcher: | Arun Kumar |
Guide(s): | Verma, Vishal |
Keywords: | Automation and Control Systems Computer Science Engineering and Technology |
University: | Chaudhary Ranbir Singh University |
Completed Date: | 2023 |
Abstract: | The challenges world has faced in pandemics such as COVID-19 has shown newlinehumanity that the knowledge at genomic sequences level is the need of the newlinehour. This also compels scientific community to know more about the life. newlineAlthough a lot of research has been carried out by researchers in the different newlinefields in understanding living beings at genomic scale. This starts from newlineunderstanding the life at the minute level like proteins and other parts of newlineDNA. newlineDifferent creatures exist on earth but their basic building block is defined as newlinecells. This study focuses in understanding structure of human genome. This newlinehas been accomplished by creating a 2D and 3D structure of human genome newlineas per the algebraic topology of genome elements. Also the work revolves newlinearound the role of gene-disease association to further explore the causes and newlinetheir dependence upon the gene which is associated with these. Protein newlineclassification sheds light upon the concept which defines the functional and newlinestructural similarities of protein sequences. The above work has been done newlineusing various mathematical and statistical tools with the help of machine newlinelearning and deep learning. newlineTo validate the claims of thesis, respective deep learning and machine newlinelearning validation methods have been implemented. The supporting graphs newlineand chart tables show how much accurate are these. This also provides a clear newlineunderstanding of the work done while maintaining the validation rules at newlineprimary scale. The same has been verified under peer reviews by various newlinejournals and conferences where the work got published. ! newline |
Pagination: | xiii,145 |
URI: | http://hdl.handle.net/10603/548026 |
Appears in Departments: | Department of Computer Science and Applications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01 chapter.pdf | Attached File | 280.27 kB | Adobe PDF | View/Open |
02 chapter.pdf | 543.31 kB | Adobe PDF | View/Open | |
03 chapter.pdf | 3.47 MB | Adobe PDF | View/Open | |
04 chapter.pdf | 99.15 kB | Adobe PDF | View/Open | |
05 chapter.pdf | 316.52 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 129.37 kB | Adobe PDF | View/Open | |
abstract.pdf | 66.37 kB | Adobe PDF | View/Open | |
annexures.pdf | 5.78 MB | Adobe PDF | View/Open | |
prelim 01.pdf | 3.65 MB | Adobe PDF | View/Open | |
table of contents.pdf | 128.65 kB | Adobe PDF | View/Open | |
title.pdf | 245.89 kB | Adobe PDF | View/Open |
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