Author

Sophia M. Arana

Stanford UniversityORCID 0009-0000-5747-0204Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:CRISPR screen· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:perturbation response prediction· 1

Frequent Co-Authors

AradhanaiD· 2 shared Josh TyckoiD· 2 shared Kaitlyn K. Spees· 2 shared Lacramioara BintuiD· 2 shared Michael Cory BassikiD· 2 shared Peter P. DuiD· 2 shared Peter SuzukiiD· 2 shared Raeline ValbuenaiD· 2 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersSystems Biology

AradhanaORCID

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2 papers

Recent·Most cited

Systems BiologyNature BiotechnologyPeer-reviewedNov 1, 2024

Development of compact transcriptional effectors using high-throughput measurements in diverse contexts

Josh Tycko, Mike V. Van, Aradhana…·Michael Cory Bassik

The paper develops HT-recruit to measure transcriptional effector function across contexts and identifies context-dependent effectors for CRISPR-based transcription control.

57 citationstop 1%

humanCRISPR screen

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GenomicsbioRxivPreprintSep 21, 2024

Prediction and design of transcriptional repressor domains with large-scale mutational scans and deep learning

Raeline Valbuena, AkshatKumar Nigam, Josh Tycko…·Michael Cory Bassik

The paper predicts and designs transcriptional repressor domains using mutational scans and a deep learning model called TENet, identifying functional variants and enabling synthetic design.

2 citations

humanDNA methylation

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