%0 Journal Article %1 ji2021machine %A Ji, Yuge %A Lotfollahi, Mohammad %A Wolf, F Alexander %A Theis, Fabian J %D 2021 %I Elsevier %J Cell Systems %K single cell perturbation survey deep learning review theis wolf machine background knowledge integration generative modeling models model omics multi multiomics %N 6 %P 522--537 %T Machine learning for perturbational single-cell omics %V 12

@article{ji2021machine, added-at = {2021-07-12T07:40:06.000+0200}, author = {Ji, Yuge and Lotfollahi, Mohammad and Wolf, F Alexander and Theis, Fabian J}, biburl = {https://www.bibsonomy.org/bibtex/284915277671b34262689609b209ee650/becker}, interhash = {1cf0036d2329d819cf5dffe50b7f13b2}, intrahash = {84915277671b34262689609b209ee650}, journal = {Cell Systems}, keywords = {single cell perturbation survey deep learning review theis wolf machine background knowledge integration generative modeling models model omics multi multiomics}, number = 6, pages = {522--537}, publisher = {Elsevier}, timestamp = {2021-07-12T07:40:06.000+0200}, title = {Machine learning for perturbational single-cell omics}, volume = 12, year = 2021 }