Search Results for author: Phil Hanslovsky

Found 2 papers, 1 papers with code

Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening

no code implementations11 Jun 2024 Mahtab Bigverdi, Burkhard Hockendorf, Heming Yao, Phil Hanslovsky, Romain Lopez, David Richmond

Optical pooled screening (OPS) combines automated microscopy and genetic perturbations to systematically study gene function in a scalable and cost-effective way.

Clustering Representation Learning +1

Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images

1 code implementation8 Jun 2024 Heming Yao, Phil Hanslovsky, Jan-Christian Huetter, Burkhard Hoeckendorf, David Richmond

Optical Pooled Screening (OPS) is a powerful tool combining high-content microscopy with genetic engineering to investigate gene function in disease.

Self-Supervised Learning

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