Amir Feizi (@amir_feizi) 's Twitter Profile
Amir Feizi

@amir_feizi

Computational Biologists

ID: 2802870305

calendar_today03-10-2014 21:29:57

489 Tweet

184 Followers

620 Following

Steven Salzberg πŸ’™πŸ’› (@stevensalzberg1) 's Twitter Profile Photo

Our paper is out in @nature! This is from a @cshlbanbury meeting where a group of scientists got together to ask, can we ever identify the complete set of human genes? And how do we do that? with Mihaela Pertea Ales Varabyou Piero Carninci and many others nature.com/articles/s4158…

Nathan Lewis (@nathan_e_lewis) 's Twitter Profile Photo

These past few years have seen a rapid expansion of cell-cell communication research. Check out Erick Armingol's new Nature Reviews Genetics review of the diverse methods leveraging single-cell and spatial omics: rdcu.be/dwkND

These past few years have seen a rapid expansion of cell-cell communication research. Check out <a href="/eagut/">Erick Armingol</a>'s new <a href="/NatureRevGenet/">Nature Reviews Genetics</a> review of the diverse methods leveraging single-cell and spatial omics: rdcu.be/dwkND
Mo Lotfollahi (@mo_lotfollahi) 's Twitter Profile Photo

We are excited to announce amazing opportunities to join our team, working on an incredible collaborative project aimed at developing generative AI to model human development alongside Muzlifah Haniffa. hiring at both predoctoral and postdoctoral levels. Deadline 14/04, pls share

We are excited to announce amazing opportunities to join our team, working on an incredible collaborative project aimed at developing generative AI to model human development alongside <a href="/Muzz_Haniffa/">Muzlifah Haniffa</a>. hiring at both predoctoral and postdoctoral levels.
Deadline 14/04, pls share
Mo Lotfollahi (@mo_lotfollahi) 's Twitter Profile Photo

1/6 Introducing MultiMIL: a weekly supervised multimodal model to identify disease-specific changes in single-cell atlases. Using a multiple-instance learning framework and attention mechanism, it prioritizes cells linked to various phenotypes in a large single-cell reference

1/6 Introducing MultiMIL: a weekly supervised multimodal model to identify disease-specific changes in single-cell atlases. Using a multiple-instance learning framework and attention mechanism, it prioritizes cells linked to various phenotypes in a large single-cell reference