Back to main page

Singel Cell Denoising

Last update: 05/10/2020
By: Huitian (Yolanda) Diao

1. <2020>A random matrix theory approach to denoise single-cell data
   Publisher: PATTERNS | Group: Raul Rabadan | Institute: Columbia University
2. <2020>Noise2Self: blind denoising by self-supervision
   Publisher: arXiv | Group: Joshua Batson, Loic Royer | Institute: Chan Zuckerberg Biohub
3. <2018>Recovering Gene Interactions from Single-Cell Data Using Data Diffusion
   Publisher: Cell | Group: Smita Krishnaswamy, Dana Pe’er | Institute: Yale University
4. <2019>DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data
   Publisher: Genome Biology | Group: Lana X. Garmire | Institute: University of Michigan, Ann Arbor
5. <2019>Single-cell RNA-seq denoising using a deep count autoencoder
   Publisher: Nature Communications | Group: Fabian Theis | Institute:Technische Universität München