Search Results - "Hwang, Ahyeon"

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  1. 1

    iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease by Duan, Ziheng, Dai, Yi, Hwang, Ahyeon, Lee, Cheyu, Xie, Kaichi, Xiao, Chutong, Xu, Min, Girgenti, Matthew J, Zhang, Jing

    Published in PLoS computational biology (11-09-2023)
    “…Different genes form complex networks within cells to carry out critical cellular functions, while network alterations in this process can potentially…”
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    Journal Article
  2. 2

    Characterizing dysregulations via cell-cell communications in Alzheimer's brains using single-cell transcriptomes by Lee, Che Yu, Riffle, Dylan, Xiong, Yifeng, Momtaz, Nadia, Lei, Yutong, Pariser, Joseph M, Sikdar, Diptanshu, Hwang, Ahyeon, Duan, Ziheng, Zhang, Jing

    Published in BMC neuroscience (13-05-2024)
    “…Alzheimer's disease (AD) is a devastating neurodegenerative disorder affecting 44 million people worldwide, leading to cognitive decline, memory loss, and…”
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  3. 3
  4. 4

    iHerd: an i ntegrative h i e rarchical graph r epresentation learning framework to quantify network changes and prioritize risk genes in d isease by Duan, Ziheng, Dai, Yi, Hwang, Ahyeon, Lee, Cheyu, Xie, Kaichi, Xiao, Chutong, Xu, Min, Girgenti, Matthew J, Zhang, Jing

    Published in PLoS computational biology (01-09-2023)
    “…Different genes form complex networks within cells to carry out critical cellular functions, while network alterations in this process can potentially…”
    Get full text
    Journal Article
  5. 5

    scENCORE: leveraging single-cell epigenetic data to predict chromatin conformation using graph embedding by Duan, Ziheng, Xu, Siwei, Sai Srinivasan, Shushrruth, Hwang, Ahyeon, Lee, Che Yu, Yue, Feng, Gerstein, Mark, Luan, Yu, Girgenti, Matthew, Zhang, Jing

    Published in Briefings in bioinformatics (22-01-2024)
    “…Abstract Dynamic compartmentalization of eukaryotic DNA into active and repressed states enables diverse transcriptional programs to arise from a single…”
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  6. 6

    InsuLock: A Weakly Supervised Learning Approach for Accurate Insulator Prediction, and Variant Impact Quantification by Srinivasan, Shushrruth Sai, Gong, Yanwen, Xu, Siwei, Hwang, Ahyeon, Xu, Min, Girgenti, Matthew J, Zhang, Jing

    Published in Genes (30-03-2022)
    “…Mapping chromatin insulator loops is crucial to investigating genome evolution, elucidating critical biological functions, and ultimately quantifying variant…”
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    Journal Article
  7. 7

    Translator: A Trans fer L earning Approach to Facilitate Single-Cell AT AC-Seq Data Analysis fr o m R eference Dataset by Xu, Siwei, Skarica, Mario, Hwang, Ahyeon, Dai, Yi, Lee, Cheyu, Girgenti, Matthew J, Zhang, Jing

    Published in Journal of computational biology (01-07-2022)
    “…Recent advances in single-cell sequencing assay for transposase-accessible chromatin (scATAC-seq) have allowed simultaneous epigenetic profiling over thousands…”
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    Journal Article
  8. 8

    Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Investigating Learned Representations by Livezey, Jesse A, Hwang, Ahyeon, Yeung, Jacob, Bouchard, Kristofer E

    Published 23-05-2019
    “…Hierarchy and compositionality are common latent properties in many natural and scientific datasets. Determining when a deep network's hidden activations…”
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