Excited to be at @aithyra.bsky.social #AIinLifeScience symposium in Vienna. What a gorgeous venue!
Will be presenting posters on my latest work on personalized gene expression prediction and gene regulatory network inference
Manu Saraswat
How does tumour heterogeneity arise? How can we predict cancer cell plasticity? In 2 new studies, we trace #glioblastoma heterogeneity to a spatial cancer cell trajectory w. multimodal cell atlassing bit.ly/4mkrWgs & predict plasticity w. snRNA/ATAC+deep learning bit.ly/3FbI6Ic 🧵
Excited to share my first contribution here at Illumina! We developed PromoterAI, a deep neural network that accurately identifies non-coding promoter variants that disrupt gene expression.🧵 (1/)
My team has a postdoc position available now, join us!
careers.gene.com/us/en/job/20...
Our work on "Evaluating the representational power of pre-trained DNA language models for regulatory genomics" led by @AmberZqt with help from @NiraliSomia & @stevenyuyy is finally published in Genome Biology! Check it out!
genomebiology.biomedcentral.com/articles/10....
Omer Ali Bayraktar
Excited to be at #ASHG2025 in Boston next week. On Thursday, I will be presenting a poster (1007T) on our latest work on Personalised sequence to expression modelling. Looking forward to meeting new folks and reconnecting with old friends and colleagues.
Excited to share this work on mapping trans-eQTLs at single-cell resolution!
Delighted to have co-conceived this project with lead author @danaivagiaki.bsky.social
LIVI enables systematic discovery of genetic effects on gene regulatory networks in population-scale scRNA cohorts. Thread below 🧵👇🏼
