INTEGRATING MACHINE LEARNING MODELS WITH MULTI-OMICS ANALYSIS TO DECIPHER THE PROGNOSTIC SIGNIFICANCE OF MITOTIC CATASTROPHE HETEROGENEITY IN BLADDER CANCER

Integrating machine learning models with multi-omics analysis to decipher the prognostic significance of mitotic catastrophe heterogeneity in bladder cancer

Abstract Background Mitotic catastrophe is well-known as a major pathway of 15-eg2373cl endogenous tumor death, but the prognostic significance of its heterogeneity regarding bladder cancer (BLCA) remains unclear.Methods Our study focused on digging deeper into the TCGA and GEO databases.Through differential expression analysis as well as Weighted

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Social Media and Its Impact on Secularism in Society

Recent works on social media and religion have paid particular ngetikin attention to the role of social media in the development of religious values, improvement of social values and gratification of faith-based content by using various methodologies.This research paper is a quantitative research, evaluating the use of social media by the youth and

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