Amin Einipour1, Mohammad Mosleh1, *, Karim Ansari-Asl1, 2
CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.1, pp. 377-397, 2020, DOI:10.32604/cmes.2020.08496
Abstract The emergence of single-cell RNA-sequencing (scRNA-seq) technology has introduced new information about the structure of cells, diseases, and their associated biological factors. One of the main uses of scRNA-seq is identifying cell populations, which sometimes leads to the detection of rare cell populations. However, the new method is still in its infancy and with its advantages comes computational challenges that are just beginning to address. An important tool in the analysis is dimensionality reduction, which transforms high dimensional data into a meaningful reduced subspace. The technique allows noise removal, visualization and compression of high-dimensional data. This paper presents a new… More >
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