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wilstc's profile picture. predicting phenotypes 🖥🧬🔮 @transcriptabio

Will Connell

@wilstc

predicting phenotypes 🖥🧬🔮 @transcriptabio

299Bài đăng 682Người theo dõi 915Đang theo dõi
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Ghim
wilstc's profile picture.
Will Connell
 @wilstc
14 thg 6, 2023

🧬🔮 Single cell foundation models have been a recent hot topic in bio-ML! A few of the recent methods and some thoughts 🧬🔮 1) Geneformer 2) scGPT 3) scFoundation 4) Exceiver

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wilstc's profile picture.
Will Connell
 @wilstc
7 thg 11

“this discussion on the challenges of evaluating a Foundation model is more interesting than the challenge itself.” Agreed!

dalloliogm's profile picture. bioinformatician and data analysis with experience in human population genetics and cancer
dalloliogm
 @dalloliogm
6 thg 11

My second post on the Arc Virtual Cell Challenge. The challenge’s Discord forums are in turmoil. Some participants have discovered a trick to get to the top of the leaderboard. gmdbioinformatics.substack.com/p/arc-virtual-… #arc_virtual_cell_challenge #foundation_models

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EliWeinstein6's profile picture.
Eli Weinstein
 @EliWeinstein6
21 thg 10

We're excited to present LeaVS, a method to scale up learning for protein function models. It is based on the co-design of wet lab experiments and in silico training.

EliWeinstein6's tweet image. We're excited to present LeaVS, a method to scale up learning for protein function models. It is based on the co-design of wet lab experiments and in silico training.
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genophoria's profile picture.
Hani Goodarzi
@genophoria
6 thg 10

Arc is hiring a unique role to lead the Virtual Cell Challenge. In its first year the Challenge has already attracted participation from thousands of top bio AI researchers and support from sponsors like NVIDIA. We need someone to help us make this annual competition historically…

genophoria's tweet image. Arc is hiring a unique role to lead the Virtual Cell Challenge. In its first year the Challenge has already attracted participation from thousands of top bio AI researchers and support from sponsors like NVIDIA. We need someone to help us make this annual competition historically…
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wilstc's profile picture.
Will Connell
 @wilstc
30 thg 9

Massive, clean Pertub-seq dataset. 8M cells, 2 cell types, deeply sequenced. 🧬🪩 👏

_annhuang's profile picture. i like science and cats. bioinformatics @xaira_thera
Ann Huang
 @_annhuang
30 thg 9

Virtual Cell community - this one's for you! X-Atlas/Orion is now live on Hugging Face. Train your own models with streamlined workflows built into the Hugging Face API. 🔗 HuggingFace: huggingface.co/datasets/Xaira… 📜 License: cc-by-nc-sa-4.0

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wilstc's profile picture.
Will Connell
 @wilstc
17 thg 9

Awesome 👏🏼👏🏼

BrianHie's profile picture. AI for biology @Stanford and @arcinstitute
Brian Hie
 @BrianHie
17 thg 9

Welcome to the age of generative genome design! In 1977, Sanger et al. sequenced the first genome—of phage ΦX174. Today, led by @samuelhking, we report the first AI-generated genomes. Using ΦX174 as a template, we made novel, high-fitness phages with genome language models. 🧵

BrianHie's tweet image. Welcome to the age of generative genome design! In 1977, Sanger et al. sequenced the first genome—of phage ΦX174. Today, led by @samuelhking, we report the first AI-generated genomes. Using ΦX174 as a template, we made novel, high-fitness phages with genome language models. 🧵
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wilstc's profile picture.
Will Connell
 @wilstc
26 thg 8

*using the ctrl pop as a ref biases perturbation effects to be poorly distinguishable* a new study by @mariabrbic's lab reaches the same conclusion as the @ShiftBioscience study I highlighted recently 👏 ...with an nice fwd comment on model "utility" 😎 x.com/mariabrbic/sta…

wilstc's profile picture. predicting phenotypes 🖥🧬🔮 @transcriptabio
Will Connell
 @wilstc
9 thg 7

What is the state of research on the emerging grand challenge of virtual cell modeling? 1/n open.substack.com/pub/behindbiom…

wilstc's tweet image. What is the state of research on the emerging grand challenge of virtual cell modeling? 1/n open.substack.com/pub/behindbiom…
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lizbwood's profile picture.
Elizabeth Wood 🧬🖥️🥼
 @lizbwood
22 thg 7

The biggest challenge for AI in biology isn't just models, it's the data used to train them. Standard biological data isn't built for AI. To unlock generative AI for drug discovery, we must rethink how we generate and capture data. 1/

lizbwood's tweet image. The biggest challenge for AI in biology isn't just models, it's the data used to train them. Standard biological data isn't built for AI. To unlock generative AI for drug discovery, we must rethink how we generate and capture data. 1/
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