Details

Autor(en) / Beteiligte

• Alquicira-Hernandez, Jose
• Powell, Joseph E
• Mathelier, Anthony

Titel

Nebulosa recovers single-cell gene expression signals by kernel density estimation

Ist Teil von

• Bioinformatics (Oxford, England), 2021-08, Vol.37 (16), p.2485-2487

Ort / Verlag

England: Oxford University Press

Erscheinungsjahr

2021

Link zum Volltext

Quelle

Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals

Beschreibungen/Notizen

• Abstract Summary Data sparsity in single-cell experiments prevents an accurate assessment of gene expression when visualized in a low-dimensional space. Here, we introduce Nebulosa, an R package that uses weighted kernel density estimation to recover signals lost through drop-out or low expression. Availability and implementation Nebulosa can be easily installed from www.github.com/powellgenomicslab/Nebulosa. Supplementary information Supplementary data are available at Bioinformatics online.