Amir Alavi

Costco Executive Member. Also, Machine Learning Researcher @ Seer Bio

[Amir Alavi @alavimir]

First time at #ICML2022. Lesson learned: next time pack some shorts and t-shirts

[Computational & Systems Biology at Pitt @compbiopitt]

RT @CellPressNews: Jun Ding (@johnding86) @McGillMed & Amir Alavi (@alavimir) @CMUCompBio review computational tools for analyzing single-cell data in #pluripotent cell differentiation studies @CellRepMethods #ISSCR2022 https://t.co/dAuxOjbSnr

[Cell Press @CellPressNews]

Jun Ding (@johnding86) @McGillMed & Amir Alavi (@alavimir) @CMUCompBio review computational tools for analyzing single-cell data in #pluripotent cell differentiation studies @CellRepMethods #ISSCR2022 https://t.co/oL1ExYMHAm

[Amir Alavi @alavimir]

So proud to be a part of this work with these great colleagues!

[ESC & iPSC News @ESC_iPSC_News]

Drs. Jun Ding (@johnding86) at @McGillMed and Amir Alavi (@alavimir) at @CMUCompBio review computational tools for analyzing single-cell data in #pluripotent cell differentiation studies. 📃

Full article: https://t.co/XE8dlG2JYo

[ESC & iPSC News @ESC_iPSC_News]

Drs. Jun Ding (@johnding86) at @McGillMed and Amir Alavi (@alavimir) at @CMUCompBio review computational tools for analyzing single-cell data in #pluripotent cell differentiation studies. 📃

Full article: https://t.co/XE8dlG2JYo

[Amir Alavi @alavimir]

@jmuiuc @PLOSCompBiol @CMUCompBio @SCSatCMU Thank you very much Jian!

[PLOS Comp Biol @PLOSCompBiol]

Adapting the classical iterative point set registration methods from robotic and computer vision to scRNA-seq results in transformation functions that can align different batches: https://t.co/pvPNjWWFYB @alavimir @CMUCompBio @SCSatCMU

[Amir Alavi @alavimir]

@Alii_Ganjj Thanks very much for attending Ali, looking forward to chatting again with you in-person back on campus soon :)

[Amir Alavi @alavimir]

Thank you to the organizers and attendees of #RECOMB2020 for their attention and questions! Many asked for the code, and it’s hosted on Songwei Ge’s (lead author) GitHub: https://t.co/9llIc0XMKA

[Amir Alavi @alavimir]

@hyunhwanj Thanks for attending, glad you found it interesting!

[Amir Alavi @alavimir]

@jmuiuc Thanks Jian, and thanks for a great job leading the session, it wemt very smoothly!

[Jian Ma @jmuiuc]

Proceeding paper "Supervised Adversarial Alignment of Single-Cell RNA-seq Data" by Songwei Ge, @HaohanWang, @alavimir, Eric Xing, and Ziv Bar-Joseph
https://t.co/J90BG8wV7G

[Amir Alavi @alavimir]

Excited to be presenting our recent paper on enabling cell type classification across various heterogenous batches of scRNA-seq data (scDGN) at #RECOMB2020 today at 3pm EST. Many great talks today, see you there!

[Amir Alavi @alavimir]

Preprint: our recent project on aligning scRNA-seq data batches; Python package is live and feedback is welcome! https://t.co/P7gYhZvLzE Paper: https://t.co/X80OUOGc5C

[Amir Alavi @alavimir]

@justahappygeek Every time I read “codes” when reviewing a paper, it sticks out to me like sore thumb and I can’t get over it 🤣

[Amir Alavi @alavimir]

The plural of “code” (in software) is just “code” not “codes”

[Amir Alavi @alavimir]

Did ya ever make a tidy LaTeX project for your manuscript, and have to throw it all away because a journal needs 'a single tex file'? Here ya go: https://t.co/2lC6uiHayT

[Rahul Satija @satijalab]

Interested in deep learning for scRNA-seq? Check out:
* Autoencoders for de-noising: DCA, @fabian_theis; https://t.co/Hzmrbe6r6A
* Deep transfer learning: SAVER-X, Zhang Lab; https://t.co/YX5hJVRqEd
* Single cell variational inference: scVI, @nir_yosef1; https://t.co/QpK62GQMq4

[Nature Communications @NatureComms]

A web server for comparative analysis of single-cell RNA-seq data – new paper from @alavimir @CMUCompBio at @NatureComms https://t.co/TaiUnzCoAW

[CMU Kenneth C. Griffin School of Computer Science @GriffinCMU]

Researchers @CMUCompBio say neural networks are better than marker genes in characterizing cells based on single cell RNA-sequencing (scRNA-seq). Web server will help identify new cell subtypes, differentiate between healthy/diseased cells. @NatureComms https://t.co/h4QMRieblE