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International Journal of Molecular Sciences
|
April 3, 2021
Machine Learning Reduced Gene/Non-Coding RNA Features That Classify Schizophrenia Patients Accurately and Highlight Insightful Gene Clusters
Yichuan Liu, Hui-Qi Qu, Xiao Chang, et al.
Frontiers in Genetics
|
September 26, 2019
Association of Rare Recurrent Copy Number Variants With Congenital Heart Defects Based on Next-Generation Sequencing Data From Family Trios
Yichuan Liu, Xiao Chang, Joseph Glessner, et al.
Scientific Reports
|
September 18, 2020
Non-coding structural variation differentially impacts attention-deficit hyperactivity disorder (ADHD) gene networks in African American vs Caucasian children
Yichuan Liu, Xiao Chang, Huiqi Qu, et al.
Experimental Biology and Medicine (Maywood, N.J.)
|
July 8, 2021
Deep learning prediction of attention-deficit hyperactivity disorder in African Americans by copy number variation
Yichuan Liu, Hui-Qi Qu, Xiao Chang, et al.
Nucleic Acids Research
|
December 24, 2013
PennSeq: accurate isoform-specific gene expression quantification in RNA-Seq by modeling non-uniform read distribution
Yu Hu, Yichuan Liu, Xianyun Mao, et al.
American Journal of Medical Genetics. Part A
|
October 12, 2021
Rare neurological manifestations in a Saudi Arabian patient with Ehlers-Danlos syndrome and a novel homozygous variant in the TNXB gene
Talal M Al-Harbi, Haya Al-Rammah, Naif Al-Zahrani, et al.
Genes
|
March 6, 2021
Rare Recurrent Variants in Noncoding Regions Impact Attention-Deficit Hyperactivity Disorder (ADHD) Gene Networks in Children of both African American and European American Ancestry
Yichuan Liu, Xiao Chang, Hui-Qi Qu, et al.
Alzheimer'S Research & Therapy
|
December 19, 2025
Unsupervised machine learning integrates genomic variants and EMR to unravel mechanisms of brain hemorrhage and epilepsy as early indicators of alzheimer's in down syndrome
Yichuan Liu, Hui-Qi Qu, Xiao Chang, et al.
Chemistry (Weinheim an Der Bergstrasse, Germany)
|
June 9, 2021
Competitive Coordination of Chloride and Fluoride Anions Towards Trivalent Lanthanide Cations (La<sup>3+</sup> and Nd<sup>3+</sup> ) in Molten Salts
Shilin Jiang, Jianhui Lan, Lin Wang, et al.
Cancer Communications (London, England)
|
October 10, 2024
Deciphering protective genomic factors of tumor development in pediatric Down syndrome via deep learning approach to whole genome and RNA sequencing
Yichuan Liu, Hui-Qi Qu, Xiao Chang, et al.
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Search research articles
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Showing results (41-50 of 95) with videos related to
Sort By:
Page
of 10
International Journal of Molecular Sciences
|
April 3, 2021
Machine Learning Reduced Gene/Non-Coding RNA Features That Classify Schizophrenia Patients Accurately and Highlight Insightful Gene Clusters
Yichuan Liu, Hui-Qi Qu, Xiao Chang, et al.
Frontiers in Genetics
|
September 26, 2019
Association of Rare Recurrent Copy Number Variants With Congenital Heart Defects Based on Next-Generation Sequencing Data From Family Trios
Yichuan Liu, Xiao Chang, Joseph Glessner, et al.
Scientific Reports
|
September 18, 2020
Non-coding structural variation differentially impacts attention-deficit hyperactivity disorder (ADHD) gene networks in African American vs Caucasian children
Yichuan Liu, Xiao Chang, Huiqi Qu, et al.
Experimental Biology and Medicine (Maywood, N.J.)
|
July 8, 2021
Deep learning prediction of attention-deficit hyperactivity disorder in African Americans by copy number variation
Yichuan Liu, Hui-Qi Qu, Xiao Chang, et al.
Nucleic Acids Research
|
December 24, 2013
PennSeq: accurate isoform-specific gene expression quantification in RNA-Seq by modeling non-uniform read distribution
Yu Hu, Yichuan Liu, Xianyun Mao, et al.
American Journal of Medical Genetics. Part A
|
October 12, 2021
Rare neurological manifestations in a Saudi Arabian patient with Ehlers-Danlos syndrome and a novel homozygous variant in the TNXB gene
Talal M Al-Harbi, Haya Al-Rammah, Naif Al-Zahrani, et al.
Genes
|
March 6, 2021
Rare Recurrent Variants in Noncoding Regions Impact Attention-Deficit Hyperactivity Disorder (ADHD) Gene Networks in Children of both African American and European American Ancestry
Yichuan Liu, Xiao Chang, Hui-Qi Qu, et al.
Alzheimer'S Research & Therapy
|
December 19, 2025
Unsupervised machine learning integrates genomic variants and EMR to unravel mechanisms of brain hemorrhage and epilepsy as early indicators of alzheimer's in down syndrome
Yichuan Liu, Hui-Qi Qu, Xiao Chang, et al.
Chemistry (Weinheim an Der Bergstrasse, Germany)
|
June 9, 2021
Competitive Coordination of Chloride and Fluoride Anions Towards Trivalent Lanthanide Cations (La<sup>3+</sup> and Nd<sup>3+</sup> ) in Molten Salts
Shilin Jiang, Jianhui Lan, Lin Wang, et al.
Cancer Communications (London, England)
|
October 10, 2024
Deciphering protective genomic factors of tumor development in pediatric Down syndrome via deep learning approach to whole genome and RNA sequencing
Yichuan Liu, Hui-Qi Qu, Xiao Chang, et al.
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