Ayalew Sisay, Brook Lemma
Assessment on the prevalence and risk factors of gastrointestinal parasites on schoolchildren at Bochesa Elementary School, around Lake Zwai, Ethiopia
BMC research notes
rna modification serves pivotal component numerous biological processes among prevalent modifications 5methylcytosine m5c significantly influences mrna export translation efficiency cell differentiation also associated human diseases including alzheimers disease autoimmune disease cancer cardiovascular diseases identification m5c critically responsible understanding rna modification mechanisms epigenetic regulation associated diseases however largescale experimental identification m5c present significant challenges due labor intensity time requirements several computational tools using machine learning developed supplement experimental methods identifying sites lack accuracy efficiency study introduce new predictor mlm5c precise prediction m5c sites using sequence data briefly evaluated eleven rna sequencederived features four basic machine learning algorithms generate baseline models 44 models ranked based performance subsequently stacked top 20 baseline models best model named mlm5c mlm5c outperformed thestateoftheart predictors notably optimization sequence length surrounding modification sites significantly improved prediction performance mlm5c invaluable tool accelerating detection m5c sites within human genome thereby facilitating characterization roles posttranscriptional regulation