Hannah Kim
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Using neural networks for reducing the dimensions of single-cell RNA-Seq data
C Lin, S Jain, H Kim, Z Bar-Joseph
Nucleic acids research 45 (17), e156-e156, 2017
Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth
AL Tarca, BÁ Pataki, R Romero, M Sirota, Y Guan, R Kutum, ...
Cell Reports Medicine 2 (6), 100323, 2021
Diverse noncoding mutations contribute to deregulation of cis-regulatory landscape in pediatric cancers
B He, P Gao, YY Ding, CH Chen, G Chen, C Chen, H Kim, SK Tasian, ...
Science Advances 6 (30), eaba3064, 2020
Network analysis reveals synergistic genetic dependencies for rational combination therapy in Philadelphia chromosome-like acute lymphoblastic leukemia
YY Ding, H Kim, K Madden, JP Loftus, GM Chen, DH Allen, R Zhang, J Xu, ...
Clinical cancer research: an official journal of the American Association …, 2021
Improving personalized prediction of cancer prognoses with clonal evolution models
Y Tao, A Rajaraman, X Cui, Z Cui, J Eaton, H Kim, J Ma, R Schwartz
bioRxiv, 761510, 2019
Under the sea: superficial skin infection with an atypical cause
CE Hansen, DP Ascher, HS Kim, RH Schwartz
Pediatric Emergency Care 33 (12), e167-e169, 2017
Environmentally contingent control of Candida albicans cell wall integrity by transcriptional regulator Cup9
Y Ichikawa, VM Bruno, CA Woolford, H Kim, E Do, GC Brewer, AP Mitchell
Genetics 218 (3), iyab075, 2021
Assessing the contribution of tumor mutational phenotypes to cancer progression risk
Y Tao, A Rajaraman, X Cui, Z Cui, H Chen, Y Zhao, J Eaton, H Kim, J Ma, ...
PLoS computational biology 17 (3), e1008777, 2021
Using Neural Networks to Improve Single Cell RNA-Seq Data Analysis
C Lin, S Jain, H Kim, Z Bar-Joseph
bioRxiv, 129759, 2017
MOCA for Integrated Analysis of Gene Expression and Genetic Variation in Single Cells
J Huzar, H Kim, S Kumar, S Miura
Frontiers in Genetics 13, 2022
Supplement to Using Neural Networks for Reducing the Dimensions of Single-Cell RNA-Seq Data
C Lin, S Jain, H Kim, Z Bar-Joseph
neuron 8 (3), 27, 0
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