Identification of the miRNA signature associated with survival in patients with ovarian cancer

Survival estimation in patients with stomach and esophageal carcinoma using miRNA expression profiles

“…GASE was developed using SVR and an optimal feature selection algorithm IBCGA. The optimization technique implemented in GASE was adopted from previous studies [34] , [35] , [36] . SVM is a supervised machine learning method, which has demonstrated good prediction capability in solving classification and regression problems in various biomedical fields, especially in cancer genomics [37] .…”

Tracking the amino acid changes of spike proteins across diverse host species of severe acute respiratory syndrome coronavirus 2

“…We also reported nine additional PCPs based on feature frequency scores. In our previous work (Yerukala Sathipati and Ho, 2021), we attempted to discover the properties of CoV proteins and identified some PCPs of interest based on differences in van der Waals volume (FAUJ880103), helix and beta turns properties (ONEK900101, PALJ810116, AURR980102, and MONM990101), and relative mutability (DAYM780201) that distinguish the human host from animal host species CoVs. In this study, we exclusively focused on S proteins.…”

“…The SPIKES method was developed using SVM incorporating an optimal feature selection algorithm, IBCGA, to select m informative features from a large number n of candidate features. The optimized SVMs incorporated with IBCGA is well-suited for solving various biological modeling problems, such as cancer survival and stage predictions (Yerukala Sathipati and Ho, 2017, 2020Yerukala Sathipati et al, 2019;Sathipati and Ho, 2021), protein function predictions (Srinivasulu et…”

“…Hasan et al compared the PCPs of protein ORF8 from SARS-CoV-2, pangolin-CoV, and bat-RaTG13-CoV and reported that some PCPs of SARS-CoV-2 ORF8 showed higher correlation with bat-RaTG13-CoV and less correlation with pangolin-CoV (Hassan et al, 2021). We have previously reported some informative PCPs, including normalized van der Waals volume, delta G values, normalized frequencies of turn in a/b class, normalized positional residues frequency at helix termini N 00 , and relative mutability, which were potential predictors for differentiating human and non-human host CoVs (Yerukala Sathipati and Ho, 2021). These changes in the properties of S protein is of particular value for the development and refinement of artificial intelligence (AI) and bioinformatics-based approaches to analyze and predict the emergence of SARS-CoV-2 variants, identify alterations in treatment response, and highlight areas of concern for increased transmissibility (Cave et al, 2021;Arora et al, 2020;Auwul et al, 2021;Brierley and Fowler, 2021).…”

Exosomal MicroRNA as Biomarkers for Diagnosing or Monitoring the Progression of Ovarian Clear Cell Carcinoma: A Pilot Study

“…Another study has shown that miR-93-5p plasma levels are significantly increased in patients with ovarian cancer compared to those in controls [23]; furthermore, miR-93 is overexpressed in ovarian cancer cell lines resistant to cisplatin [38,39]. miR-1237 is significantly associated with survival of patients with ovarian cancer [40]. Also, miR-320 is strongly downregulated in EOC tissues and cell lines and is significantly correlated with cancer stage and lymph node metastasis in patients with EOC [41].…”