Unsupervised Analysis of Whole Transcriptome Data from Pluripotent Stem Cells
Agostinho, S. P. A.
; Cabral, J. M. S.
;
Fred, A. L. N.
; Rodrigues, C. A. V.
Unsupervised Analysis of Whole Transcriptome Data from Pluripotent Stem Cells, Proc International Conference of CellAgri Portugal, Braga, Portugal, Vol. , pp. - , September, 2023.
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Abstract
This work presents a reanalysis, of a previously published RNA-seq dataset, using several unsupervised learning algorithms to study, from a whole transcriptome point of view, the changes occurring during stem cell differentiation. Despite the fact that the methodology was tested for human cells, its applicability in the field of cellular agriculture is undeniable as it could aid in the characterization of the cells obtained from a variety of protocols and sources.
