טוען...
FITs: forest of imputation trees for recovering true signals in single-cell open chromatin profiles
The advent of single-cell open-chromatin profiling technology has facilitated the analysis of heterogeneity of activity of regulatory regions at single-cell resolution. However, stochasticity and availability of low amount of relevant DNA, cause high drop-out rate and noise in single-cell open-chrom...
שמור ב:
| הוצא לאור ב: | NAR Genom Bioinform |
|---|---|
| Main Authors: | , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Oxford University Press
2020
|
| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7676476/ https://ncbi.nlm.nih.gov/pubmed/33575635 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nargab/lqaa091 |
| תגים: |
הוספת תג
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
|