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A Hybrid Clustering Algorithm for Identifying Cell Types from Single-Cell RNA-Seq Data
Single-cell RNA sequencing (scRNA-seq) has recently brought new insight into cell differentiation processes and functional variation in cell subtypes from homogeneous cell populations. A lack of prior knowledge makes unsupervised machine learning methods, such as clustering, suitable for analyzing s...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6409843/ https://www.ncbi.nlm.nih.gov/pubmed/30700040 http://dx.doi.org/10.3390/genes10020098 |