Author

Nafissa Yakubova

Meta (United States)

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Bioinformatics· 1

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Anna Klimovskaia· 1 shared Carlo De DonnoiD· 1 shared David López-Paz· 1 shared F. Alexander WolfiD· 1 shared Fabian Joachim TheisiD· 1 shared Ignacio L. IbarraiD· 1 shared Mohammad LotfollahiiD· 1 shared Yuge JiiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Anna Klimovskaia

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintApr 14, 2021

Learning interpretable cellular responses tocomplex perturbations in high-throughput screens

Mohammad Lotfollahi, Anna Klimovskaia, Carlo De Donno…·David López-Paz

The compositional perturbation autoencoder separates drug, dose and cell-type effects in single-cell transcriptomes, predicts unseen combinations, and generates 5,329 unmeasured genetic combinations in silico.

49 citations

humanscRNA-seq

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