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  • Biomedical Privacy
  • Single-Cell Genomics
  • Network Biology
  • Scalable Analysis
  • Data Modeling
  • Surveys
  • #31
  • Learning-Augmented Sketching Offers Improved Performance for Privacy Preserving and Secure GWAS
  • Junyan Xu, Kaiyuan Zhu, Jieling Cai, Can Kockan, Natnatee Dokmai, Hyunghoon Cho, David P. Woodruff, S. Cenk Sahinalp
  • iScience
  • 2025
  • Link
  • #28
  • Secure Discovery of Genetic Relatives across Large-Scale and Distributed Genomic Datasets
  • Matthew Man-Hou Hong, David Froelicher, Ricky Magner, Victoria Popic*, Bonnie Berger*, Hyunghoon Cho*
  • Genome Research
  • 2024
  • Link
  • Best Student Paper Award at RECOMB 2024
  • #24
  • Scalable and Privacy-Preserving Federated Principal Component Analysis
  • David Froelicher*, Hyunghoon Cho*, Manaswitha Edupalli, Joao Sa Sousa, Jean-Philippe Bossuat, Apostolos Pyrgelis, Juan Troncoso-Pastoriza, Bonnie Berger, Jean-Pierre Hubaux
  • IEEE Symposium on Security and Privacy (S&P)
  • 2023
  • Link
  • #11
  • Geometric Sketching Compactly Summarizes the Single-Cell Transcriptomic Landscape
  • Brian Hie*, Hyunghoon Cho*, Benjamin DeMeo, Bryan Bryson, Bonnie Berger
  • Cell Systems
  • 2019
  • Link
  • Also appeared in RECOMB 2019
  • #8
  • Generalizable and Scalable Visualization of Single Cell Data Using Neural Networks
  • Hyunghoon Cho, Bonnie Berger, Jian Peng
  • Cell Systems
  • 2018
  • Link
  • Also appeared in RECOMB 2018
  • #6
  • Compact Integration of Multi-Network Topology for Functional Analysis of Genes
  • Hyunghoon Cho, Bonnie Berger, Jian Peng
  • Cell Systems
  • 2016
  • Link
  • F1000Prime Recommended

Hoon Cho Lab
Department of Biomedical Informatics and Data Science
Yale School of Medicine
101 College St, New Haven, CT 06510, USA

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