Author

Emaad Khwaja

University of California, San Francisco

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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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:protein structure prediction· 2 Approach:transformer / foundation model· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:protein design· 1

Frequent Co-Authors

Bo HuangiD· 3 shared Yun S. SongiD· 2 shared Aaron Agarunov· 1 shared Henry PinkardiD· 1 shared Laura WalleriD· 1 shared Shuqin ZhouiD· 1 shared Yina WangiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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3 shared papersBioinformatics

Bo HuangORCID

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3 papers

Recent·Most cited

CELL-E 2: Translating Proteins to Pictures and Back with a Bidirectional Text-to-Image Transformer

Emaad Khwaja, Yun Song, Aaron Agarunov, Bo Huang

CELL-E 2 translates protein sequences to images of subcellular localization and vice versa, enabling de novo protein design and generating novel nuclear localization signals.

neural information processing systems · Jan 1, 2023Peer-reviewedBioinformatics

CELL-E: Biological zero-shot text-to-image synthesis for protein localization prediction

Emaad Khwaja, Yun S. Song, Bo Huang

CELL-E generates 2D probability density maps of protein localization using text-to-image transformers, avoiding discrete class annotations.

bioRxiv · May 27, 2022 · PreprintBioinformatics

Image denoising for fluorescence microscopy by self-supervised transfer learning

Yina Wang, Henry Pinkard, Emaad Khwaja, Shuqin Zhou, Laura Waller, Bo Huang

This work improves fluorescence microscopy image denoising by combining self-supervised and transfer learning to reduce the need for task-specific training data.

bioRxiv · Feb 1, 2021 · PreprintBioinformatics