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Frontiers in Immunology|January 20, 2022
Application of Machine Learning for Cytometry DataZicheng Hu, Sanchita Bhattacharya, Atul J ButteFrontiers in Immunology|May 3, 2021
Opportunities and Challenges in Democratizing Immunology DatasetsSanchita Bhattacharya, Zicheng Hu, Atul J ButteProceedings of the National Academy of Sciences of the United States of America|August 18, 2020
A robust and interpretable end-to-end deep learning model for cytometry dataZicheng Hu, Alice Tang, Jaiveer Singh, et al.Journal of the American Medical Informatics Association : JAMIA|December 15, 2015
Immune modulators in disease: integrating knowledge from the biomedical literature and gene expressionNophar Geifman, Sanchita Bhattacharya, Atul J ButteNature Reviews. Nephrology|July 1, 2021
Big Data in NephrologyNavchetan Kaur, Sanchita Bhattacharya, Atul J ButteNature Communications|February 24, 2019
Prototype of running clinical trials in an untrustworthy environment using blockchainDaniel R Wong, Sanchita Bhattacharya, Atul J ButteBMC Medicine|November 13, 2015
Opening clinical trial data: are the voluntary data-sharing portals enough?Nophar Geifman, Jennifer Bollyky, Sanchita Bhattacharya, et al.Cell Reports|October 11, 2018
The 10,000 Immunomes Project: Building a Resource for Human ImmunologyKelly A Zalocusky, Matthew J Kan, Zicheng Hu, et al.Genome Biology|November 17, 2017
xCell: digitally portraying the tissue cellular heterogeneity landscapeDvir Aran, Zicheng Hu, Atul J ButteBioinformatics (Oxford, England)|September 1, 2018
Robust prediction of clinical outcomes using cytometry dataZicheng Hu, Benjamin S Glicksberg, Atul J ButtePageof 38