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Shenzhi Chen

@shenzhichen1999.bsky.social

PhD student in Stark group@IMP Vienna, Machine Learning, Gene Regulation

11 Followers  |  12 Following  |  11 Posts  |  Joined: 23.12.2025  |  1.4985

Latest posts by shenzhichen1999.bsky.social on Bluesky


We use compact CNNs and transfer learning (pre‑trained on genome‑wide ATAC‑seq and fine‑tuned on validated enhancers from VISTA enhancer browser) to program tissue‑specific enhancers. (2/6)

24.12.2025 17:52 — 👍 0    🔁 0    💬 0    📌 0
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Transfer learning reveals clear shifts in motif importance between sequence‑to‑accessibility and sequence‑to‑activity models, highlighting the specific features that drive enhancer function. (3/6)

24.12.2025 17:51 — 👍 0    🔁 0    💬 0    📌 0
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100% (15/15) of designed enhancers for heart, limb, and CNS are active in their intended tissues in mouse embryos. 🎯 (4/6)

24.12.2025 17:51 — 👍 0    🔁 0    💬 0    📌 0

We hope this approach will help enable the design of more versatile and precise synthetic enhancers across mammalian tissues, cell types, and dynamic cell states. (5/6)

24.12.2025 17:50 — 👍 0    🔁 0    💬 0    📌 0

Grateful for the amazing guidance from @alex-stark.bsky.social and Vincent Loubiere to help me make my first PhD project come ture!
Huge thanks to all co-authors and collaborators, especially Evgeny @evgenykvon.bsky.social and Jacob @jmschreiber91.bsky.social, for making this work possible. 🙏 (6/6)

24.12.2025 17:50 — 👍 0    🔁 0    💬 0    📌 0
Preview
Predictive design of tissue-specific mammalian enhancers that function in vivo in the mouse embryo Enhancers control tissue-specific gene expression across metazoans. Although deep learning has enabled enhancer prediction and design in mammalian cell lines and invertebrate systems, it remains uncle...

🚀 Excited to share our latest work now on bioRxiv: the computational de novo design of tissue‑specific mammalian enhancers that work in vivo in the mouse embryo. 🐭

More details in the preprint and code:
bioRxiv: biorxiv.org/content/10.6...
(1/6)

24.12.2025 17:46 — 👍 0    🔁 0    💬 5    📌 0

We use compact CNNs and transfer learning (pre‑trained on genome‑wide ATAC‑seq and fine‑tuned on validated enhancers from VISTA enhancer browser) to program tissue‑specific enhancers. (2/5)

24.12.2025 17:42 — 👍 0    🔁 0    💬 0    📌 0
Post image

Transfer learning reveals clear shifts in motif importance between sequence‑to‑accessibility and sequence‑to‑activity models, highlighting the specific features that drive enhancer function. (2/5)

24.12.2025 17:42 — 👍 0    🔁 0    💬 0    📌 0
Post image

100% (15/15) of designed enhancers for heart, limb, and CNS are active in their intended tissues in mouse embryos. 🎯 (3/5)

24.12.2025 17:41 — 👍 0    🔁 0    💬 0    📌 0

We hope this approach will help enable the design of more versatile and precise synthetic enhancers across mammalian tissues, cell types, and dynamic cell states. (4/5)

24.12.2025 17:40 — 👍 0    🔁 0    💬 0    📌 0

Grateful for the amazing guidance from @alex-stark.bsky.social and Vincent Loubiere to help me make my first PhD project come ture!

Huge thanks to all co-authors and collaborators, especially Evgeny @evgenykvon.bsky.social and Jacob @jmschreiber91.bsky.social, for making this work possible. 🙏 (5/5)

24.12.2025 17:39 — 👍 0    🔁 0    💬 0    📌 0

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