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ACSNI: An unsupervised machine-learning tool for prediction of tissue-specific pathway components using gene expression profiles
Determining the tissue- and disease-specific circuit of biological pathways remains a fundamental goal of molecular biology. Many components of these biological pathways still remain unknown, hindering the full and accurate characterization of biological processes of interest. Here we describe ACSNI...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8212143/ https://www.ncbi.nlm.nih.gov/pubmed/34179848 http://dx.doi.org/10.1016/j.patter.2021.100270 |