Hasil Pencarian - Daifeng Wang

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  1. 1
    Computational approaches to address data challenges in intellectual and developmental disabilities research

    Computational approaches to address data challenges in intellectual and developmental disabilities research oleh Daifeng Wang, John R. Pruett

    Diterbitkan 2023-01-01
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  2. 2
    CMOT: Cross-Modality Optimal Transport for multimodal inference

    CMOT: Cross-Modality Optimal Transport for multimodal inference oleh Sayali Anil Alatkar, Daifeng Wang

    Diterbitkan 2023-07-01
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  3. 3
    Multiview learning for understanding functional multiomics.

    Multiview learning for understanding functional multiomics. oleh Nam D Nguyen, Daifeng Wang

    Diterbitkan 2020-04-01
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  4. 4
    Manifold learning analysis suggests strategies to align single-cell multimodal data of neuronal electrophysiology and transcriptomics

    Manifold learning analysis suggests strategies to align single-cell multimodal data of neuronal electrophysiology and transcriptomics oleh Jiawei Huang, Jie Sheng, Daifeng Wang

    Diterbitkan 2021-11-01
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  5. 5
    Dual-Quaternion-Based SLERP MPC Local Controller for Safe Self-Driving of Robotic Wheelchairs

    Dual-Quaternion-Based SLERP MPC Local Controller for Safe Self-Driving of Robotic Wheelchairs oleh Daifeng Wang, Wenjing Cao, Atsuo Takanishi

    Diterbitkan 2023-11-01
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  6. 6
    Comparative gene co-expression network analysis of epithelial to mesenchymal transition reveals lung cancer progression stages

    Comparative gene co-expression network analysis of epithelial to mesenchymal transition reveals lung cancer progression stages oleh Daifeng Wang, John D. Haley, Patricia Thompson

    Diterbitkan 2017-12-01
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  7. 7
    DREISS: Using State-Space Models to Infer the Dynamics of Gene Expression Driven by External and Internal Regulatory Networks.

    DREISS: Using State-Space Models to Infer the Dynamics of Gene Expression Driven by External and Internal Regulatory Networks. oleh Daifeng Wang, Fei He, Sergei Maslov, Mark Gerstein

    Diterbitkan 2016-10-01
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  8. 8
    ManiNetCluster: a novel manifold learning approach to reveal the functional links between gene networks

    ManiNetCluster: a novel manifold learning approach to reveal the functional links between gene networks oleh Nam D. Nguyen, Ian K. Blaby, Daifeng Wang

    Diterbitkan 2019-12-01
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  9. 9
    MANGEM: A web app for multimodal analysis of neuronal gene expression, electrophysiology, and morphology

    MANGEM: A web app for multimodal analysis of neuronal gene expression, electrophysiology, and morphology oleh Robert Hermod Olson, Noah Cohen Kalafut, Daifeng Wang

    Diterbitkan 2023-11-01
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  10. 10
    Principal-oscillation-pattern analysis of gene expression.

    Principal-oscillation-pattern analysis of gene expression. oleh Daifeng Wang, Ari Arapostathis, Claus O Wilke, Mia K Markey

    Diterbitkan 2012-01-01
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  11. 11
    Sustained correction of hippocampal neurogenic and cognitive deficits after a brief treatment by Nutlin-3 in a mouse model of fragile X syndrome

    Sustained correction of hippocampal neurogenic and cognitive deficits after a brief treatment by Nutlin-3 in a mouse model of fragile X syndrome oleh Sahar Javadi, Yue Li, Jie Sheng, Lucy Zhao, Yao Fu, Daifeng Wang, Xinyu Zhao

    Diterbitkan 2022-05-01
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  12. 12
    Residual Characteristics of Atrazine and Its Metabolites in the Liaoning Province of China

    Residual Characteristics of Atrazine and Its Metabolites in the Liaoning Province of China oleh Wei Meng, Daifeng Wang, Shizhong Li, Yuying Wang, Ce Jiang, Hongzhe Tian, Mingshan Ji

    Diterbitkan 2022-11-01
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  13. 13
    scGRNom: a computational pipeline of integrative multi-omics analyses for predicting cell-type disease genes and regulatory networks

    scGRNom: a computational pipeline of integrative multi-omics analyses for predicting cell-type disease genes and regulatory networks oleh Ting Jin, Peter Rehani, Mufang Ying, Jiawei Huang, Shuang Liu, Panagiotis Roussos, Daifeng Wang

    Diterbitkan 2021-05-01
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  14. 14
    Bringing machine learning to research on intellectual and developmental disabilities: taking inspiration from neurological diseases

    Bringing machine learning to research on intellectual and developmental disabilities: taking inspiration from neurological diseases oleh Chirag Gupta, Pramod Chandrashekar, Ting Jin, Chenfeng He, Saniya Khullar, Qiang Chang, Daifeng Wang

    Diterbitkan 2022-05-01
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  15. 15
    Single-cell network biology characterizes cell type gene regulation for drug repurposing and phenotype prediction in Alzheimer's disease.

    Single-cell network biology characterizes cell type gene regulation for drug repurposing and phenotype prediction in Alzheimer's disease. oleh Chirag Gupta, Jielin Xu, Ting Jin, Saniya Khullar, Xiaoyu Liu, Sayali Alatkar, Feixiong Cheng, Daifeng Wang

    Diterbitkan 2022-07-01
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  16. 16
    Loregic: a method to characterize the cooperative logic of regulatory factors.

    Loregic: a method to characterize the cooperative logic of regulatory factors. oleh Daifeng Wang, Koon-Kiu Yan, Cristina Sisu, Chao Cheng, Joel Rozowsky, William Meyerson, Mark B Gerstein

    Diterbitkan 2015-04-01
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  17. 17
    Illuminating links between cis-regulators and trans-acting variants in the human prefrontal cortex

    Illuminating links between cis-regulators and trans-acting variants in the human prefrontal cortex oleh Shuang Liu, Hyejung Won, Declan Clarke, Nana Matoba, Saniya Khullar, Yudi Mu, Daifeng Wang, Mark Gerstein

    Diterbitkan 2022-11-01
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  18. 18
    DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction

    DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction oleh Pramod Bharadwaj Chandrashekar, Sayali Alatkar, Jiebiao Wang, Gabriel E. Hoffman, Chenfeng He, Ting Jin, Saniya Khullar, Jaroslav Bendl, John F. Fullard, Panos Roussos, Daifeng Wang

    Diterbitkan 2023-10-01
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  19. 19
    Transcriptome-wide transmission disequilibrium analysis identifies novel risk genes for autism spectrum disorder.

    Transcriptome-wide transmission disequilibrium analysis identifies novel risk genes for autism spectrum disorder. oleh Kunling Huang, Yuchang Wu, Junha Shin, Ye Zheng, Alireza Fotuhi Siahpirani, Yupei Lin, Zheng Ni, Jiawen Chen, Jing You, Sunduz Keles, Daifeng Wang, Sushmita Roy, Qiongshi Lu

    Diterbitkan 2021-02-01
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  20. 20
    RGS6 Mediates Effects of Voluntary Running on Adult Hippocampal Neurogenesis

    RGS6 Mediates Effects of Voluntary Running on Adult Hippocampal Neurogenesis oleh Yu Gao, Minjie Shen, Jose Carlos Gonzalez, Qiping Dong, Sudharsan Kannan, Johnson T. Hoang, Brian E. Eisinger, Jyotsna Pandey, Sahar Javadi, Qiang Chang, Daifeng Wang, Linda Overstreet-Wadiche, Xinyu Zhao

    Diterbitkan 2020-08-01
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