Construct and Compare scGRN from Single-Cell Transcriptomic Data. A workflow based on machine learning methods to construct and compare single-cell gene regulatory networks (scGRN) using single-cell RNA-seq (scRNA-seq) data collected from different conditions. Uses principal component regression, tensor decomposition, and manifold alignment, to accurately identify
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curl https://depscope.dev/api/check/cran/scTenifoldNetFirst published · 2021-10-29 09:02:33
Last updated · 2021-10-29T05:40:02+00:00