Single cell integrated clustering method based on subspace randomization
A clustering method, single-cell technology, applied in the field of data mining in bioinformatics
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[0040] The present invention is based on subspace randomization single cell integrated clustering method. Specific embodiments of the present invention are described below. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the scope of evidence collection of the present invention.
[0041] Step 1: From the GEO database, download 8 types of single-cell sequencing data, including Buettner (single-cell RNA sequencing of mouse embryonic stem cells), Deng (single-cell sequencing of mouse early development), Kolodziejczyk, Chu (single-cell sequencing of human embryonic stem cells Cell Sequencing), Usoskin (single-cell RNA-sequencing data of mouse sensory neurons), Zeisel (large-scale single-cell RNA-sequencing of mouse somatosensory cortex and hippocampal CA1 region). As the initial input data, in order to eliminate the influence of different dimensions, we norm...
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