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code-ae

Coherent Deconfounding Autoencoder (CODE-AE) can extract both common biological signals shared by incoherent samples and private representations unique to each data set, transfer knowledge learned from cell line data to tissue data, and separate confounding factors from them

hbdb

huahuatii.github.io

labiste

last_blog_demo

this is my blog.

reproducing--unimap

This is a repository for reproducing UniMap.

reproducing-unimap

This is a repository for reproducing UniMap.

san

Code release for "Partial Transfer Learning with Selective Adversarial Networks" (CVPR 2018)

scalex

Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space