Kun Huang

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 14

Top Venues

Nature communications

Biology direct

BioMed research international

Oncogene

Indiana University School of Medicine

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Indiana University School of Medicine Jul 17 2017

United States

Professor/IUSM PHI Chair/Assistant Dean :: Medicine

The Ohio State University - Jul 14 2017

United States

Professor / Associate Dean :: Biomedical Informatics

Publications

Travis S Johnson, Parvathi Sudha, Enze Liu, Nathan Becker, Sylvia Robertson, Patrick Blaney, Gareth J Morgan, Vivek S Chopra, Cedric Dos Santos, Michael Nixon, Kun Huang, Attaya Suvannasankha, Mohammad Abu Zaid, Rafat Abonour, Brian A Walker
1q amplification and PHF19 expressing high-risk cells are associated with relapsed/refractory multiple myeloma. Nature communications 15 (1) (2024)
Travis S Johnson, Parvathi Sudha, Enze Liu, Nathan Becker, Sylvia Robertson, Patrick Blaney, Gareth J Morgan, Vivek S Chopra, Cedric Dos Santos, Michael Nixon, Kun Huang, Attaya Suvannasankha, Mohammad Abu Zaid, Rafat Abonour, Brian A Walker
1q amplification and PHF19 expressing high-risk cells are associated with relapsed/refractory multiple myeloma. Nature communications 15 (1) (2024)
Travis S Johnson, Parvathi Sudha, Enze Liu, Nathan Becker, Sylvia Robertson, Patrick Blaney, Gareth J Morgan, Vivek S Chopra, Cedric Dos Santos, Michael Nixon, Kun Huang, Attaya Suvannasankha, Mohammad Abu Zaid, Rafat Abonour, Brian A Walker
1q amplification and PHF19 expressing high-risk cells are associated with relapsed/refractory multiple myeloma. Nature communications 15 (1) (2024)
Travis S Johnson, Parvathi Sudha, Enze Liu, Nathan Becker, Sylvia Robertson, Patrick Blaney, Gareth J Morgan, Vivek S Chopra, Cedric Dos Santos, Michael Nixon, Kun Huang, Attaya Suvannasankha, Mohammad Abu Zaid, Rafat Abonour, Brian A Walker
1q amplification and PHF19 expressing high-risk cells are associated with relapsed/refractory multiple myeloma. Nature communications 15 (1) (2024)
Travis S Johnson, Parvathi Sudha, Enze Liu, Nathan Becker, Sylvia Robertson, Patrick Blaney, Gareth J Morgan, Vivek S Chopra, Cedric Dos Santos, Michael Nixon, Kun Huang, Attaya Suvannasankha, Mohammad Abu Zaid, Rafat Abonour, Brian A Walker
1q amplification and PHF19 expressing high-risk cells are associated with relapsed/refractory multiple myeloma. Nature communications 15 (1) (2024)
Brian A Walker, Travis S Johnson, Parvathi Sudha, Enze Liu, Patrick Blaney, Gareth J Morgan, Vivek Chopra, Cedric Dos Santos, Michael Nixon, Kun Huang, Attaya Suvannasankha, Mohammad Abu Zaid, Rafat Abonour
Identifying 1q amplification and PHF19 expressing high-risk cells associated with relapsed/refractory multiple myeloma. Research square (2023)
Ziyu Liu, Travis S Johnson, Wei Shao, Min Zhang, Jie Zhang, Kun Huang
Optimal transport- and kernel-based early detection of mild cognitive impairment patients based on magnetic resonance and positron emission tomography images. Alzheimer's research & therapy 14 (1) (2022)
Chuanpeng Dong, Annamaria Cesarano, Giuseppe Bombaci, Jill L Reiter, Christina Y Yu, Yue Wang, Zhaoyang Jiang, Mohammad Abu Zaid, Kun Huang, Xiongbin Lu, Brian A Walker, Fabiana Perna, Yunlong Liu
Intron retention-induced neoantigen load correlates with unfavorable prognosis in multiple myeloma. Oncogene 40 (42) (2021)
Tongxin Wang, Wei Shao, Zhi Huang, Haixu Tang, Jie Zhang, Zhengming Ding, Kun Huang
MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification. Nature communications 12 (1) (2021)
Jun Cheng, Zhi Han, Rohit Mehra, Wei Shao, Michael Cheng, Qianjin Feng, Dong Ni, Kun Huang, Liang Cheng, Jie Zhang
Computational analysis of pathological images enables a better diagnosis of TFE3 Xp11.2 translocation renal cell carcinoma. Nature communications 11 (1) (2020)
Yatong Han, Xiufen Ye, Chao Wang, Yusong Liu, Siyuan Zhang, Weixing Feng, Kun Huang, Jie Zhang
Integration of molecular features with clinical information for predicting outcomes for neuroblastoma patients. Biology direct 14 (1) (2019)
Yatong Han, Xiufen Ye, Jun Cheng, Siyuan Zhang, Weixing Feng, Zhi Han, Jie Zhang, Kun Huang
Integrative analysis based on survival associated co-expression gene modules for predicting Neuroblastoma patients' survival time. Biology direct 14 (1) (2019)
Zhi Han, Travis Johnson, Jie Zhang, Xuan Zhang, Kun Huang
Functional Virtual Flow Cytometry: A Visual Analytic Approach for Characterizing Single-Cell Gene Expression Patterns. BioMed research international 2017 (2017)
Zhi Han, Travis Johnson, Jie Zhang, Xuan Zhang, Kun Huang
Corrigendum to "Functional Virtual Flow Cytometry: A Visual Analytic Approach for Characterizing Single-Cell Gene Expression Patterns". BioMed research international 2017 (2017)
Aaron Albin, Xiaonan Ji, Tara B Borlawsky, Zhan Ye, Simon Lin Linwood, Philip Richard Orrin Payne, Kun Huang, Yang Xiang
Enabling online studies of conceptual relationships between medical terms: developing an efficient web platform. JMIR medical informatics 2 (2) (2014)

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Publication Activity (10 Years)

Top Topics

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Kun Huang