Devansh Balhara
Vol. 10, Jul-Dec 2020
Abstract:
RNA Sequencing of single-cell has given us a wide area to concentrate on heterogeneity and articulation profiles of cells. Downstream examination of such information has driven us to significant perception and arrangement of cell types. Nonetheless, these methodologies request incredible effort and exertion added that it appears to be the best way to continue ahead interestingly. The consequences of such confirmed examination have driven us to make marks from our dataset. We can utilize similar named information as a contribution to a neural organization. Along these lines, we would have the option to robotize the dreary and tedious course of the downstream investigation. This paper has mechanized planning malignant growth cells to disease cell lines and malignant growth types. We have utilized dish malignant growth single-cell sequencing information of 53513 cells from 198 cell lines reflecting 22 disease types.