Author

Lena Granovsky

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:perturbation response prediction· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Jeremy L. EnglandiD· 2 shared Alon Gonen· 1 shared Ching-Hao WangiD· 1 shared Chris Lin· 1 shared Finnian Firth· 1 shared Gal Keinan· 1 shared Glyn Bradley· 1 shared Jiang Zhu· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersSystems Biology

Jeremy L. EnglandORCID

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2 papers

Recent·Most cited

Learning Perturbation-specific Cell Representations for Prediction of Transcriptional Response across Cellular Contexts

Gal Keinan, Karen Sayal, Alon Gonen, Jiang Zhu, Lena Granovsky, Jeremy L. England

PerturbX predicts transcriptional responses to perturbations in new cellular contexts using deep learning trained on high-throughput screens.

bioRxiv · Mar 20, 2023 · PreprintSystems Biology

Simple Causal Relationships in Gene Expression Discovered through Deep Learned Collective Variables

Ching-Hao Wang, Kalin Vetsigian, Chris Lin, Finnian Firth, Glyn Bradley, Lena Granovsky, Jeremy L. England

The paper develops a deep learning approach to identify simple causal relationships in gene expression by finding low-dimensional representations that predict genetic perturbation responses.

bioRxiv · Jan 18, 2023 · PreprintGenomics