DIA-MS has become an important tool in quantitative proteomics. 🔬Guomics at WestlakeUni introduces DIA-BERT, a transformer model pre-trained on existing DIA datasets, with 51%↑ protein identifications.📈#Proteomics #DIABERT #AI
Details at www.nature.com/articles/s41...
Details at www.nature.com/articles/s41...
April 16, 2025 at 2:15 AM
DIA-MS has become an important tool in quantitative proteomics. 🔬Guomics at WestlakeUni introduces DIA-BERT, a transformer model pre-trained on existing DIA datasets, with 51%↑ protein identifications.📈#Proteomics #DIABERT #AI
Details at www.nature.com/articles/s41...
Details at www.nature.com/articles/s41...
🌱 Grow AI Virtual Cells: Three Data Pillars and Closed-Loop Learning (#AIVC #AIinBio) - by Guomics@WestlakeU:
📚Prior knowledge +🧬Static architecture +Dynamic states
🤖 Closed-loop AI + robotic experiments → iterative model refinement.
Starting with S. cerevisiae as scalable prototype.
📚Prior knowledge +🧬Static architecture +Dynamic states
🤖 Closed-loop AI + robotic experiments → iterative model refinement.
Starting with S. cerevisiae as scalable prototype.
Grow AI virtual cells: three data pillars and closed-loop learning - Cell Research
Cell Research - Grow AI virtual cells: three data pillars and closed-loop learning
doi.org
March 25, 2025 at 1:02 PM
🌱 Grow AI Virtual Cells: Three Data Pillars and Closed-Loop Learning (#AIVC #AIinBio) - by Guomics@WestlakeU:
📚Prior knowledge +🧬Static architecture +Dynamic states
🤖 Closed-loop AI + robotic experiments → iterative model refinement.
Starting with S. cerevisiae as scalable prototype.
📚Prior knowledge +🧬Static architecture +Dynamic states
🤖 Closed-loop AI + robotic experiments → iterative model refinement.
Starting with S. cerevisiae as scalable prototype.
Excited to announce that I'll start as a tenure-track assistant professor @uofuphs.bsky.social this fall. #BiostatsElevated
The #GUOmics lab will focus on developing biologically informed machine learning methods to decode spatial and population-scale omics data. Look forward to exciting colabs!
The #GUOmics lab will focus on developing biologically informed machine learning methods to decode spatial and population-scale omics data. Look forward to exciting colabs!
June 9, 2025 at 1:51 PM
Excited to announce that I'll start as a tenure-track assistant professor @uofuphs.bsky.social this fall. #BiostatsElevated
The #GUOmics lab will focus on developing biologically informed machine learning methods to decode spatial and population-scale omics data. Look forward to exciting colabs!
The #GUOmics lab will focus on developing biologically informed machine learning methods to decode spatial and population-scale omics data. Look forward to exciting colabs!