Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kristy Choi"'
Publikováno v:
Proceedings of the 30th International Conference on Advances in Geographic Information Systems.
Publikováno v:
AAAI
Despite the recent success in probabilistic modeling and their applications, generative models trained using traditional inference techniques struggle to adapt to new distributions, even when the target distribution may be closely related to the ones
Autor:
Berivan Isik, Kristy Choi, Xin Zheng, Tsachy Weissman, Stefano Ermon, H.-S. Philip Wong, Armin Alaghi
Compression and efficient storage of neural network (NN) parameters is critical for applications that run on resource-constrained devices. Despite the significant progress in NN model compression, there has been considerably less investigation in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2c4f0e300b677edc7d25eb2ef19f454
http://arxiv.org/abs/2102.07725
http://arxiv.org/abs/2102.07725
Autor:
Kristy Choi, Rachel M. Fromme, Andrew E. Cornish, Phuong Dao, Alexander Y. Rudensky, Juozas Nainys, Krishna Kadaveru, George Plitas, Linas Mazutis, Peter T. McKenney, Sandhya Prabhakaran, Catherine Konopacki, Manu Setty, Elham Azizi, Ruby C. Wasti, Vaidotas Kiseliovas, Kenmin Wu, Dana Pe'er, Ambrose J. Carr
Publikováno v:
Cell. 174(5)
Knowledge of immune cell phenotypes in the tumor microenvironment is essential for understanding mechanisms of cancer progression and immunotherapy response. We profiled 45,000 immune cells from eight breast carcinomas, as well as matched normal brea
Autor:
Elham Azizi, Ambrose J. Carr, George Plitas, Andrew E. Cornish, Catherine Konopacki, Sandhya Prabhakaran, Juozas Nainys, Kenmin Wu, Vaidotas Kiseliovas, Manu Setty, Kristy Choi, Rachel M. Fromme, Phuong Dao, Peter T. McKenney, Ruby C. Wasti, Krishna Kadaveru, Linas Mazutis, Alexander Y. Rudensky, Dana Pe’er
SUMMARYKnowledge of immune cell phenotypes in the tumor microenvironment is essential for understanding mechanisms of cancer progression and immunotherapy response. We created an immune map of breast cancer using single-cell RNA-seq data from 45,000
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aac30042aa5566d2b1a5e2fee3342e1a
https://doi.org/10.1101/221994
https://doi.org/10.1101/221994
Autor:
Sean C. Bendall, Tomer-Meir Salame, Kristy Choi, Dana Pe'er, Shlomit Reich-Zeliger, Michelle D. Tadmor, Omer Angel, Manu Setty, Pooja Kathail, Nir Friedman
Publikováno v:
Nature biotechnology
Recent single-cell analysis technologies offer an unprecedented opportunity to elucidate developmental pathways. Here we present Wishbone, an algorithm for positioning single cells along bifurcating developmental trajectories with high resolution. Wi