scBKAP: a single-cell RNA-Seq data clustering pipeline
| Main Authors: | Xiaolin Wang, Ren Qi, Baoguang Tian, Ruiqing Zheng, Chen Chen, Xin Gao, Bin Yu |
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| Format: | info software Journal |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/4451548 |
Daftar Isi:
- scBKAP, the cornerstone of which is a single-cell bisecting K-means clustering method based on an autoencoder network and a dimensionality reduction model MPDR. Specially, scBKAP utilizes an autoencoder network to reconstruct gene expression values from scRNA-Seq data to alleviate the dropout issue, and the MPDR model composed of the M3Drop feature selection algorithm and the PHATE dimensionality reduction algorithm to reduce the dimensions of reconstructed data. The dimension-ality-reduced data are then fed into the bisecting K-means clustering algorithm to identify the clusters of cells.