Lifting Biomolecular Data Acquisition
Fuente:
arXiv
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| Autores principales: | , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866914206506287104 |
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| author | Weinstein, Eli N. Slabodkin, Andrei Gollub, Mattia G. Dobbs, Kerry Cui, Xiao-Bing Zhang, Fang Gurung, Kristina Wood, Elizabeth B. |
| author_facet | Weinstein, Eli N. Slabodkin, Andrei Gollub, Mattia G. Dobbs, Kerry Cui, Xiao-Bing Zhang, Fang Gurung, Kristina Wood, Elizabeth B. |
| contents | One strategy to scale up ML-driven science is to increase wet lab experiments' information density. We present a method based on a neural extension of compressed sensing to function space. We measure the activity of multiple different molecules simultaneously, rather than individually. Then, we deconvolute the molecule-activity map during model training. Co-design of wet lab experiments and learning algorithms provably leads to orders-of-magnitude gains in information density. We demonstrate on antibodies and cell therapies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_15984 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Lifting Biomolecular Data Acquisition Weinstein, Eli N. Slabodkin, Andrei Gollub, Mattia G. Dobbs, Kerry Cui, Xiao-Bing Zhang, Fang Gurung, Kristina Wood, Elizabeth B. Biomolecules Machine Learning One strategy to scale up ML-driven science is to increase wet lab experiments' information density. We present a method based on a neural extension of compressed sensing to function space. We measure the activity of multiple different molecules simultaneously, rather than individually. Then, we deconvolute the molecule-activity map during model training. Co-design of wet lab experiments and learning algorithms provably leads to orders-of-magnitude gains in information density. We demonstrate on antibodies and cell therapies. |
| title | Lifting Biomolecular Data Acquisition |
| topic | Biomolecules Machine Learning |
| url | https://arxiv.org/abs/2512.15984 |