Cargando…
DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data
Single-cell RNA sequencing (scRNA-seq) offers new opportunities to study gene expression of tens of thousands of single cells simultaneously. We present DeepImpute, a deep neural network-based imputation algorithm that uses dropout layers and loss functions to learn patterns in the data, allowing fo...
Autores principales: | Arisdakessian, Cédric, Poirion, Olivier, Yunits, Breck, Zhu, Xun, Garmire, Lana X. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798445/ https://www.ncbi.nlm.nih.gov/pubmed/31627739 http://dx.doi.org/10.1186/s13059-019-1837-6 |
Ejemplares similares
-
GranatumX: A Community-engaging, Modularized, and Flexible Webtool for Single-cell Data Analysis
por: Garmire, David G., et al.
Publicado: (2021) -
mbImpute: an accurate and robust imputation method for microbiome data
por: Jiang, Ruochen, et al.
Publicado: (2021) -
DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data
por: Poirion, Olivier B., et al.
Publicado: (2021) -
Deep Learning Enables Fast and Accurate Imputation of Gene Expression
por: Viñas, Ramon, et al.
Publicado: (2021) -
Towards accurate imputation of quantitative genetic interactions
por: Ulitsky, Igor, et al.
Publicado: (2009)