Data-driven human transcriptomic modules determined by independent component analysis
Abstract Background Analyzing the human transcriptome is crucial in advancing precision medicine, and the plethora of over half a million human microarray samples in the Gene Expression Omnibus (GEO) has enabled us to better characterize biological processes at the molecular level. However, transcri...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
BMC
2018-09-01
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| Σειρά: | BMC Bioinformatics |
| Θέματα: | |
| Διαθέσιμο Online: | http://link.springer.com/article/10.1186/s12859-018-2338-4 |
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