Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Cellular Physiology - Apoptosis is the subject of a report. According to news originating from Baotou, People’s Republic of China, by NewsRx correspondents, research stated, “Apoptot ic proteins play a crucial role in the apoptosis process, ensuring a balance bet ween cell proliferation and death. Thus, further elucidating the regulatory mech anisms of apoptosis will enhance our understanding of their functions.” Our news journalists obtained a quote from the research, “However, the developme nt of computational methods to accurately identify positive and negative regulat ion of apoptosis remains a significant challenge. This work proposes a machine l earning model based on multi-feature fusion to effectively identify the roles of positive and negative regulation of apoptosis. Initially, we constructed a reli able benchmark dataset containing 200 positive regulation of apoptosis and 241 n egative regulation of apoptosis proteins. Subsequently, we developed a classifie r that combines the support vector machine (SVM) with pseudo composition of k-sp aced amino acid pairs (PseCKSAAP), composition transition distribution (CTD), di peptide deviation from expected mean (DDE), and PSSM-composition to identify the se proteins. Analysis of variance (ANOVA) was employed to select optimized featu res that could yield the maximum prediction performance.”
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