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All papers authored by Shizhong Han

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2024 Kynon J. M. Benjamin

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, Qiang Chen, Nicholas J. Eagles

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, Louise A. Huuki-Myers

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, Leonardo Collado-Torres, Joshua M. Stolz, Geo Pertea

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, Joo Heon Shin

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, Apuã C. M. Paquola

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, Thomas M. Hyde

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, Joel E. Kleinman

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, Andrew E. Jaffe, Shizhong Han

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, Daniel R. Weinberger

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Analysis of gene expression in the postmortem brain of neurotypical Black Americans reveals contributions of genetic ancestry

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Xiangning Chen, Yimei Liu, Joan Cue, Mira Han, Vishwajit Nimgaonkar, Daniel Weinberger, Shizhong Han

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, Zhongming Zhao, Jingchun Chen

Classification of Schizophrenia, Bipolar Disorder and Major Depressive Disorder with Comorbid Traits and Deep Learning Algorithms

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Jiyun Zhou, Chongyuan Luo, Hanqing Liu, Matthew G. Heffel, Richard E. Straub, Joel E. Kleinman, Thomas M. Hyde, Joseph R. Ecker, Daniel R. Weinberger, Shizhong Han

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scMeFormer: a transformer-based deep learning model for imputing DNA methylation states in single cells enhances the detection of epigenetic alterations in schizophrenia

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Caryn Willis, Julie D. White, Melyssa S. Minto, Bryan C. Quach, Shizhong Han

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, Ran Tao, Joo Heon Shin, Amy Deep-Soboslay, Thomas M. Hyde, R. Dayne Mayfield, Bradley T. Webb, Eric O. Johnson, Joel E. Kleinman, Laura J. Bierut, Dana B. Hancock

Gene expression differences associated with alcohol use disorder in human brain

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Jiyun Zhou, Daniel R. Weinberger, Shizhong Han

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Deep learning predicts DNA methylation regulatory variants in specific brain cell types and enhances fine mapping for brain disorders

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Julie D. White, Melyssa S. Minto, Caryn Willis, Bryan C. Quach, Shizhong Han

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, Ran Tao, Amy Deep-Soboslay, Lea Zillich, Shaunna L. Clark, Edwin J. C. G. van den Oord, Thomas M. Hyde, R. Dayne Mayfield, Bradley T. Webb, Eric O. Johnson, Joel E. Kleinman and 2 other authors

Alcohol Use Disorder-Associated DNA Methylation in the Nucleus Accumbens and Dorsolateral Prefrontal Cortex

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2023 Megan Ulmer Carnes, Bryan C. Quach, Linran Zhou, Shizhong Han

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, Ran Tao, Meisha Mandal, Amy Deep-Soboslay, Jesse A. Marks

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, Grier P. Page, Brion S. Maher, Andrew E. Jaffe, Hyejung Won, Laura J. Bierut, Thomas M. Hyde, Joel E. Kleinman and 2 other authors

Smoking-informed methylation and expression QTLs in human brain and colocalization with smoking-associated genetic loci

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Gianluca Ursini

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, Pasquale Di Carlo, Sreya Mukherjee, Qiang Chen, Shizhong Han

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, Jiyoung Kim, Maya Deyssenroth, Carmen J. Marsit

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, Jia Chen, Ke Hao

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, Giovanna Punzi

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, Daniel R. Weinberger

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Prioritization of potential causative genes for schizophrenia in placenta

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2022 Kira A. Perzel Mandell, Nicholas J. Eagles, Amy Deep-Soboslay, Ran Tao, Shizhong Han

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, Richard Wilton

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, Alexander S. Szalay, Thomas M. Hyde

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, Joel E. Kleinman

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, Andrew E. Jaffe, Daniel R. Weinberger

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Molecular phenotypes associated with antipsychotic drugs in the human caudate nucleus

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2021 Kai Wang, Shizhong Han

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Effect of selection bias on two sample summary data based Mendelian randomization

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Mehdi Pirooznia, Shizhong Han

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, Richard S. Lee

Editorial: Machine Learning and Network-Driven Integrative Genomics

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2020 Ying Lin, Anjali M. Rajadhyaksha, James B. Potash, Shiva Afshar, Rajadhyaksha Am, Potash Jb, Shizhong Han

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A Machine Learning Approach to Predicting Autism Risk Genes: Validation of Known Genes and Discovery of New Candidates

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This paper was not found in any repository; the policy of its publisher is unknown or unclear.

Perzel Mandell Ka, Eagles Nj, R. Wilton, Price Aj, Semick Sa, L. Collado Torres, R. Tao, S. Han

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, Szalay As, Hyde Tm, Kleinman Je, Weinberger Dr, Jaffe Ae

Widespread methylation quantitative trait loci and their role in schizophrenia risk

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2019 Yuankai Huo, Yucheng Tang, Yunqiang Chen, Dashan Gao, Shizhong Han

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, Shunxing Bao, Smita De, James G. Terry, Jeffrey J. Carr, Richard G. Abramson, Bennett A. Landman

Stochastic tissue window normalization of deep learning on computed tomography

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Lynnette A. Averill

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, Chadi G. Abdallah, Daniel F. Levey

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, Shizhong Han

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, Ilan Harpaz‐Rotem, Henry R. Kranzler, Steven M. Southwick, John H. Krystal, Joel Gelernter, Robert H. Pietrzak

Apolipoprotein E gene polymorphism, posttraumatic stress disorder, and cognitive function in older U.S. veterans: Results from the National Health and Resilience in Veterans Study

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Jonathan T. Heinzman, Karin F. Hoth, Michael H. Cho

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, Phuwanat Sakornsakolpat, Elizabeth A. Regan, Barry J. Make, Gregory L. Kinney

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, Frederick S. Wamboldt, Kristen E. Holm, Nicholas Bormann, Julian Robles, Victor Kim, Anand S. Iyer, Edwin K. Silverman, James D. Crapo and 3 other authors

GWAS and systems biology analysis of depressive symptoms among smokers from the COPDGene cohort

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This paper was not found in any repository; the policy of its publisher is unknown or unclear.

2018 Shizhong Han

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, Ying Lin, Minghui Wang, Goes Fs, Fernando S. Goes, Kai Tan, Peter Zandi, Thomas Hyde, Weinberger Dr, Daniel R. Weinberger, Potash Jb, James B. Potash, Kleinman Je, Joel E. Kleinman, Jaffe Ae and 1 other authors

Integrating brain methylome with GWAS for psychiatric risk gene discovery

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Kwo Wei David Ho, Shizhong Han

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, Jakob V. Nielsen, Dubravka Jancic, Benjamin Hing, Jess Fiedorowicz, Myrna M. Weissman, Douglas F. Levinson, James B. Potash

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Genome-wide association study of seasonal affective disorder

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Long Gao, Yasin Uzun

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, Peng Gao, Bing He, Xiaoke Ma, Jiahui Wang, Shizhong Han

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, Kai Tan

Identifying noncoding risk variants using disease-relevant gene regulatory networks

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Jessica E. Salvatore

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, Shizhong Han

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, Sean P. Farris

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, Kristin M. Mignogna, Michael F. Miles

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, Arpana Agrawal

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Beyond genome-wide significance: integrative approaches to the interpretation and extension of GWAS findings for alcohol use disorder

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