Harriet Nalubega Kisembo, Richard Malumba, Henry Sematimba, Racheal Ankunda, Irene Dorothy Nalweyiso, Elsie-Kiguli Malwadde, Elizeus Rutebemberwa, Simon Kasasa, Dina Husseiny Salama, Michael Grace Kawooya
Understanding the factors that influence CT utilization for mild traumatic brain injury in a low resource setting - a qualitative study using the Theoretical Domains Framework
African journal of emergency medicine : Revue africaine de la medecine d'urgence
last years microc shown improved alternative hic replaced restriction enzymes hic assays micrococcal nuclease mnase resulting capturing nucleosome resolution chromatin interactions signaltonoise improvement microc allows detect chromatin loops highresolution hic however compared massive hic datasets available literature limited number microc datasets take full advantage hic datasets present hic2microc computational method learning predicting microc hic based denoising diffusion probabilistic models ddpm trained ddpm regression models human foreskin fibroblast hffc6 cell line evaluated methods six different cell types 5kb 1kb resolution evaluations demonstrate hic2microc regression methods markedly improve hic towards microc ddpmbased hic2microc outperforms regression various terms first hic2microc successfully recovers microc loops even detected hic maps second majority hic2microcrecovered loops anchor ctcf binding sites convergent orientation third hic2microc loops share genomic epigenetic properties microc loops including linking promoters enhancers anchors enriched structural proteins ctcf cohesin histone modifications lastly find recovered loops also consistent loops identified promoter capture microc pcmicroc chromatin interaction analysis pairedend tag sequencing chiapet overall hic2microc effective tool studying hic data microc template hic2microc publicly available httpsgithubcomzwangbioinformaticshic2microc