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All papers authored by Lifeng Tian

This paper is made freely available by the publisher.

2021 Yichuan Liu

ORCID

ORCID

, Xiao Chang, Lifeng Tian

ORCID

ORCID

, Joseph Glessner, Patrick M. A. Sleiman, Hakon Hakonarson

ORCID

Machine Learning Reduced Gene/Non-Coding RNA Features That Classify Schizophrenia Patients Accurately and Highlight Insightful Gene Clusters

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This paper is made freely available by the publisher.

Yichuan Liu

ORCID

, Xiao Chang, Hui-Qi Qu

ORCID

, Lifeng Tian

ORCID

, Joseph Glessner, Jingchun Qu, Dong Li, Haijun Qiu, Patrick Sleiman, Hakon Hakonarson

ORCID

Rare Recurrent Variants in Noncoding Regions Impact Attention-Deficit Hyperactivity Disorder (ADHD) Gene Networks in Children of Both African American and European American Ancestry

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This paper is made freely available by the publisher.

2020 Yichuan Liu

ORCID

ORCID

, Adam S. Wenocur

ORCID

ORCID

ORCID

, Joseph Glessner

ORCID

, Patrick Sleiman

ORCID

, Lifeng Tian

ORCID

, Hakon Hakonarson

ORCID

Interpretation of Maturity-Onset Diabetes of the Young Genetic Variants Based on American College of Medical Genetics and Genomics Criteria: Machine-Learning Model Development

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This paper is made freely available by the publisher.

Hui-Qi Qu

ORCID

, Zhangkai Jason Cheng

ORCID

ORCID

, Lifeng Tian

ORCID

, Hakon Hakonarson

ORCID

The Infection Rate of COVID-19 in Wuhan, China: Combined Analysis of Population Samples

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

Hui-Qi Qu, Zhangkai Jason Cheng, Zhifeng Duan, Lifeng Tian

ORCID

, Hakon Hakonarson

The Infection Rate of COVID-19 in Wuhan, China: Combined Analysis of Population Samples (Preprint)

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

Yichuan Liu, Hui-Qi Qu, Adam S. Wenocur, Jingchun Qu, Xiao Chang, Joseph Glessner, Patrick Sleiman, Lifeng Tian

ORCID

, Hakon Hakonarson

Interpretation of Maturity-Onset Diabetes of the Young Genetic Variants Based on American College of Medical Genetics and Genomics Criteria: Machine-Learning Model Development (Preprint)

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