Aliyu Samaila, Aminu A Biambo, Nuruddeen Usman, Usman M Aliyu, Adamu Abdullahi, Maxwell O Adibe
Health-related quality of life associated with different cervical cancer therapies received by patients in two Nigerian tertiary hospitals
African health sciences
numerous singlecell transcriptomic datasets identical tissues cell lines generated different laboratories singlecell rna sequencing scrnaseq protocols denoising datasets eliminate batch effects crucial data integration ensuring accurate interpretation comprehensive analysis biological questions although many scrnaseq data integration methods exist inefficient andor conducive downstream analysis deepbid novel deep learningbased method batch effect correction nonlinear dimensionality reduction embedding cell clustering concurrently introduced deepbid utilizes negative binomialbased autoencoder dual kullbackleibler divergence loss functions aligning cell points different batches within consistent lowdimensional latent space progressively mitigating batch effects iterative clustering extensive validation multiplebatch scrnaseq datasets demonstrates deepbid surpasses existing tools removing batch effects achieving superior clustering accuracy integrating multiple scrnaseq datasets patients alzheimers disease deepbid significantly improves cell clustering effectively annotating unidentified cells detecting cellspecific differentially expressed genes