Introduction · Materials and methods · Results · Discussion

We propose a tool, SMURF, to extract the low-dimensional embeddings from cells and genes utilizing matrix factorization with a mixture of Poisson-Gamma ...

Apr 22, 2022 · Here, rather than imputation, we propose a tool, SMURF, to embed cells and genes into their latent space vectors utilizing matrix factorization ...

Apr 22, 2022 · We propose a tool, SMURF, to embed cells and genes into their latent space vectors utilizing matrix factorization with a mixture of Poisson-Gamma divergent as ...

Oct 22, 2024 · Here, rather than imputation, we propose a tool, SMURF, to extract the low-dimensional embeddings from cells and genes utilizing matrix ...

Here, rather than imputation, we propose a tool, SMURF, to embed cells and genes into their latent space vectors utilizing matrix factorization with a mixture ...

Here, rather than imputation, we propose a tool, SMURF, to extract the low-dimensional embeddings from cells and genes utilizing matrix factorization with a ...

SMURF: embedding single-cell RNA-seq data with matrix factorization preserving selfconsistency https://t.co/4ryCzMto2C #bioRxiv.

Here, rather than imputation, we propose a tool, SMURF, to embed cells and genes into their latent space vectors utilizing matrix factorization with a mixture ...

SMURF : embedding single-cell RNA-seq data with matrix factorization preserving self-consistency. Research output: Journal Publications and Reviews › RGC 21 ...