Computer Science &Amp; Information Technology (CS &Amp; IT) 2021
DOI: 10.5121/csit.2021.110713
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Novel Machine Learning Algorithm for Prevalent Gene Biomarkers for Effective Cancer Treatment by Detecting its PH

Abstract: Patterns discovered from based on collected molecular profiles of patient tumour samples, and also clinical metadata, could be used to provide personalized cancer treatment to patients with similar molecular subtypes. Computational algorithms for cancer diagnosis, prognosis, and therapeutics that can recognize specific functions and aid in classifiers based on a plethora of publicly accessible cancer research outcomes are needed. Machine learning, a branch of artificial intelligence, has a great deal of potent… Show more

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“…Ni et al [19] identifies TOP2A, CCNB1, CCNA2, UBE2C, KIF20A, and IL-6 as impending genes associated with the pathogenesis and prognosis of NSCLC. Patil et al [20] uses machine learning methods in cancer prediction and prognosis. To study cellular pH, a variety of methods have been developed, most of which rely on fluorescence indicators and decorated nanoparticles.…”
Section: Related Workmentioning
confidence: 99%
“…Ni et al [19] identifies TOP2A, CCNB1, CCNA2, UBE2C, KIF20A, and IL-6 as impending genes associated with the pathogenesis and prognosis of NSCLC. Patil et al [20] uses machine learning methods in cancer prediction and prognosis. To study cellular pH, a variety of methods have been developed, most of which rely on fluorescence indicators and decorated nanoparticles.…”
Section: Related Workmentioning
confidence: 99%