Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Python's role in predicting type 2 diabetes using insulin DNA sequence Description An account of the resource This chapter examines how Python can assist in predicting type 2 diabetes using insulin DNA sequences, given the substantial problem that biologists face in objectively evaluating diverse biological characteristics of DNA sequences. The chapter highlights Python's various libraries, such as NumPy, Pandas, and Scikit- learn, for data handling, analysis, and machine learning, as well as visualization tools, such as Matplotlib and Seaborn, to help researchers understand the relationship between different DNA sequences and type 2 diabetes. Additionally, Python's ease of integration with other bioinformatics tools, like BLAST, EMBOSS, and ClustalW, can help identify DNA markers that could aid in predicting type 2 diabetes. In addition, the initiative tries to identify unique gene variants of insulin protein that contribute to diabetes prognosis and investigates the risk factors connected with the discovered gene variants. In conclusion, Python's versatility and functionality make it a valuable tool for researchers studying insulin DNA sequences and type 2 diabetes prediction. 2023, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Sasidharan A.; Arulkumar N. Source A related resource from which the described resource is derived Advanced Applications of Python Data Structures and Algorithms, pp. 266-278. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/978-1-6684-7100-5.ch014" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-7100-5.ch014</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167741607&amp;doi=10.4018%2F978-1-6684-7100-5.ch014&amp;partnerID=40&amp;md5=d270380975c6783377b1a1741fb122dd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167741607&amp;doi=10.4018%2f978-1-6684-7100-5.ch014&amp;partnerID=40&amp;md5=d270380975c6783377b1a1741fb122dd</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166847102-9; 978-166847100-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sasidharan A., CHRIST University (Deemed), India; Arulkumar N., CHRIST University (Deemed), India