Good morning #ASHG2025 👋
Come visit my poster to learn about our work on personalized functional genomics analysis for Alzheimer’s disease!
📍 Booth: 9225F
Excited to attend #ASHG2025! My research focuses on AI-driven personalized integration of multi-omics data to uncover disease heterogeneity. Actively exploring new research opportunities and look forward to connecting with researchers & potential collaborators.
For the personalized single-cell transcriptomics atlas of 1,494 brains, we developed iBrainMap, a graph-based model that prioritized personal cell-types, genes & networks, revealing new subtypes & population trajectories for #Alzheimers progression, cognition & NPS! #PsychAD
An article published in @GenomeMedicine presents DeepGAMI: an interpretable neural network model to improve genotype–phenotype prediction from multimodal data.
https://t.co/nkp4uTBggv
Our DeepGAMI @GenomeMedicine uses bio guided deep learning to perform multimodal imputation, feature prioritization & phenotype prediction in ONE model, for functional genomics in brains and brain diseases @domarp_cb @LabRoussos https://t.co/r2HZ3RyMFV
We launched a cloud web app @UWWaismanCenter for multimodal data analysis of single neurons, https://t.co/99iBFM690J ,#BRAINInitiative#brains https://t.co/2tUajMBTS3
What’s in the box? 👀
You can RT and find out!
Roaming Form Gimmighoul can now be caught in #PokemonGO! We’re celebrating by giving away Gimmighoul-themed prizes!🥳🎉
To claim:
Follow us on Twitter
RT this post with #GOGimmighoul
You’ll get a code to redeem. Let’s GO!
Our preprint introduces DeepGAMI, a single model that enables cross-modal imputation, predicts clinical phenotypes and prioritizes phenotypic tissue-/cell- type functional genomics for brains and brain diseases.
Our network biology analysis of cell-type gene regulatory networks @PLOSCompBiol with @FeixiongCheng repurposes drugs and predicts phenotypic genes in #Alzheimers, a step to advance single-cell network medicine!
https://t.co/JkDdxUjWJ8
Come check out my #MLCSB poster at #ISMB2022 at poster slot W-047 to know more about our work on deep auxiliary learning pipeline for integrating multi-modal data with cross-modality estimation. Looking forward to discuss with you guys during lunch.