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

Scientific reports, 2021-04, Vol.11 (1), p.7585-7585, Article 7585

2021

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Volumetric Attention for 3D Medical Image Segmentation and Detection

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, p.175-184

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Facial Expression Recognition via a Boosted Deep Belief Network

2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014, p.1805-1812

2014

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Genome-wide DNA methylation comparison between live human brain and peripheral tissues within individuals

Translational psychiatry, 2019-01, Vol.9 (1), p.47, Article 47

2019

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Genome-wide sequencing-based identification of methylation quantitative trait loci and their role in schizophrenia risk

Nature communications, 2021-09, Vol.12 (1), p.5251-5251, Article 5251

2021

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Variant callers for next-generation sequencing data: a comparison study

PloS one, 2013-09, Vol.8 (9), p.e75619-e75619

2013

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A multimodal deep learning model to infer cell-type-specific functional gene networks

BMC bioinformatics, 2023-02, Vol.24 (1), p.47-47, Article 47

2023

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Identifying noncoding risk variants using disease-relevant gene regulatory networks

Nature communications, 2018-02, Vol.9 (1), p.702-12, Article 702

2018

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Prioritization of potential causative genes for schizophrenia in placenta

Nature communications, 2023-05, Vol.14 (1), p.2613-17, Article 2613

2023

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A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare

BioData mining, 2023-04, Vol.16 (1), p.15-15, Article 15

2023

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COMBAT: A Combined Association Test for Genes Using Summary Statistics

Genetics (Austin), 2017-11, Vol.207 (3), p.883-891

2017

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Molecular phenotypes associated with antipsychotic drugs in the human caudate nucleus

Molecular psychiatry, 2022-04, Vol.27 (4), p.2061-2067

2022

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Investigating trait variability of gene co-expression network architecture in brain by controlling for genomic risk of schizophrenia

PLoS genetics, 2023-10, Vol.19 (10), p.e1010989

2023

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

Frontiers in genetics, 2020-09, Vol.11, p.500064-500064

2020

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Estimation of Causal Effect of Age at Menarche on Pubertal Height Growth Using Mendelian Randomization

Genes, 2022-04, Vol.13 (4), p.710

2022

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Feature Disentangling Machine - A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis

Computer Vision – ECCV 2014, p.151-166

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Editorial: Machine Learning and Network-Driven Integrative Genomics

Frontiers in genetics, 2021-03, Vol.12, p.660201-660201

2021

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Generalized machine learning technique for automatic phase attribution in time variant high-throughput experimental studies

Journal of materials research, 2015-04, Vol.30 (7), p.879-889

2015

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Oxytocin receptor gene polymorphisms, attachment, and PTSD: Results from the National Health and Resilience in Veterans Study

Journal of psychiatric research, 2017-11, Vol.94, p.139-147

2017

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Linkage Analysis Followed by Association Show NRG1 Associated with Cannabis Dependence in African Americans

Biological psychiatry (1969), 2012-10, Vol.72 (8), p.637-644

2012

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A nonsynonymous functional variant in integrin-α M (encoded by ITGAM ) is associated with systemic lupus erythematosus

Nature genetics, 2008-02, Vol.40 (2), p.152-154

2008

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Meta-Analysis of 15 Genome-Wide Linkage Scans of Smoking Behavior

Biological psychiatry (1969), 2010, Vol.67 (1), p.12-19

2010

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77. DEEP LEARNING PREDICTS BRAIN CELL TYPE-SPECIFIC REGULATORY VARIANTS FOR DNA METHYLATION AND IMPROVES FINE MAPPING FOR PSYCHIATRIC DISORDERS

European neuropsychopharmacology, 2023-10, Vol.75, p.S98-S98

2023

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Admixture mapping in lupus identifies multiple functional variants within IFIH1 associated with apoptosis, inflammation, and autoantibody production

PLoS genetics, 2013-02, Vol.9 (2), p.e1003222-e1003222

2013

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

Addiction biology, 2019-03, Vol.24 (2), p.275-289

2019

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

Volumetric Attention for 3D Medical Image Segmentation and Detection

Facial Expression Recognition via a Boosted Deep Belief Network

Genome-wide DNA methylation comparison between live human brain and peripheral tissues within individuals

Genome-wide sequencing-based identification of methylation quantitative trait loci and their role in schizophrenia risk

Variant callers for next-generation sequencing data: a comparison study

A multimodal deep learning model to infer cell-type-specific functional gene networks

Identifying noncoding risk variants using disease-relevant gene regulatory networks

Prioritization of potential causative genes for schizophrenia in placenta

A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare

COMBAT: A Combined Association Test for Genes Using Summary Statistics

Molecular phenotypes associated with antipsychotic drugs in the human caudate nucleus

Investigating trait variability of gene co-expression network architecture in brain by controlling for genomic risk of schizophrenia

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

Estimation of Causal Effect of Age at Menarche on Pubertal Height Growth Using Mendelian Randomization

Feature Disentangling Machine - A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis

Editorial: Machine Learning and Network-Driven Integrative Genomics

Generalized machine learning technique for automatic phase attribution in time variant high-throughput experimental studies

Oxytocin receptor gene polymorphisms, attachment, and PTSD: Results from the National Health and Resilience in Veterans Study

Linkage Analysis Followed by Association Show NRG1 Associated with Cannabis Dependence in African Americans

A nonsynonymous functional variant in integrin-α M (encoded by ITGAM ) is associated with systemic lupus erythematosus

Meta-Analysis of 15 Genome-Wide Linkage Scans of Smoking Behavior

77. DEEP LEARNING PREDICTS BRAIN CELL TYPE-SPECIFIC REGULATORY VARIANTS FOR DNA METHYLATION AND IMPROVES FINE MAPPING FOR PSYCHIATRIC DISORDERS

Admixture mapping in lupus identifies multiple functional variants within IFIH1 associated with apoptosis, inflammation, and autoantibody production

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

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