Rahman Panahi, Nooshin Hosseini, Saba Yavari, Keyhan Javanmardi, Mohiadin Amjadian
Relationship between health literacy skills and walking behavior to prevent osteoporosis among health volunteers
Journal of preventive medicine and hygiene
advent singlecell rna sequencing scrnaseq brought forth fresh perspectives intricate biological processes revealing nuances divergences present among distinct cells accurate singlecell analysis crucial prerequisite indepth investigation underlying mechanisms heterogeneity due various technical noises like impact dropout values scrnaseq data remains challenging interpret work propose unsupervised learning framework scrnaseq data analysis aka scgnnmf based nonnegativity sparsity scrnaseq data propose employing graphregularized nonnegative matrix factorization gnnmf algorithm analysis scrnaseq data involves estimating cellcell similarity genegene similarity laplacian kernels pnearest neighbor graphs pnng assuming intrinsic geometric local invariance use weighted pnearest known neighbors pnkn cellcell interactions guide matrix decomposition process promoting closeness cells similar types cellgene data space determining suitable embedding space clustering scgnnmf demonstrates superior performance compared methods maintains satisfactory compatibility robustness evidenced experiments 11 real scrnaseq datasets furthermore scgnnmf yields excellent results clustering tasks extracting useful gene markers pseudotemporal analysis