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SRGS: sparse partial least squares-based recursive gene selection for gene regulatory network inference
BACKGROUND: The identification of gene regulatory networks (GRNs) facilitates the understanding of the underlying molecular mechanism of various biological processes and complex diseases. With the availability of single-cell RNA sequencing data, it is essential to infer GRNs from single-cell express...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710113/ https://www.ncbi.nlm.nih.gov/pubmed/36451086 http://dx.doi.org/10.1186/s12864-022-09020-7 |