Yongha Hwang

ORCID: 0000-0002-4345-581X
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About
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Research Areas
  • Single-cell and spatial transcriptomics
  • Urban Design and Spatial Analysis
  • Urban Green Space and Health
  • Land Use and Ecosystem Services
  • Adipose Tissue and Metabolism
  • Molecular Biology Techniques and Applications
  • Business Strategy and Innovation
  • Human Mobility and Location-Based Analysis
  • Visual Attention and Saliency Detection
  • Economic and Environmental Valuation
  • Healthcare Systems and Technology
  • Exercise and Physiological Responses
  • Image Retrieval and Classification Techniques
  • Complex Systems and Decision Making
  • Cell Image Analysis Techniques
  • Facilities and Workplace Management
  • Consumer Retail Behavior Studies
  • Urban Transport and Accessibility
  • Advanced Biosensing Techniques and Applications
  • MicroRNA in disease regulation
  • Health, Environment, Cognitive Aging
  • Immune cells in cancer
  • Innovative Approaches in Technology and Social Development
  • Muscle Physiology and Disorders
  • Innovation and Knowledge Management

University of Michigan
2013-2025

A. Alfred Taubman Health Care Center
2013-2014

Spatial layouts can significantly influence the formation and outcomes of social relationships. Physical proximity is thus essential to understanding elemental building blocks networks, dyads. Situating relationships in space instrumental formulating better models collaboration information sharing organizations more robust theories networks their effects. We propose, develop, test a concept, functional zone, which effectively captures Festinger et al.’s classic description “functional...

10.1177/0013916513493909 article EN Environment and Behavior 2013-07-23

ABSTRACT Spatial transcriptomics (ST) technologies represent a significant advance in gene expression studies, aiming to profile the entire transcriptome from single histological slide. These techniques are designed overcome constraints faced by traditional methods such as immunostaining and RNA situ hybridization, which capable of analyzing only few target genes simultaneously. However, application ST histopathological analysis is also limited several factors, including low resolution,...

10.1101/2024.03.29.587285 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-04-01

Research on the enabling factors of innovation has most often addressed either social component organizations or spatial dimensions involved in process. Few studies have examined link from layout and networks to innovation. Social play important roles structuring communication, collaboration, access knowledge, knowledge transformation. These processes are both antecedent part Spatial structures patterns circulation, proximity, awareness others, encounter an organization. interrelationships...

10.1068/b130074p article EN Environment and Planning B Planning and Design 2014-04-15

Abstract Sequencing-based spatial transcriptomics (sST) enables transcriptome-wide gene expression mapping but falls short of reaching the optical resolution (200–300 nm) imaging-based methods. Here, we present Seq-Scope-X (Seq-Scope-eXpanded), which empowers submicrometer-resolution Seq-Scope with tissue expansion to surpass this limitation. By physically enlarging tissues, minimizes transcript diffusion effects and increases feature density by an additional order magnitude. In liver...

10.1101/2025.02.04.636355 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2025-02-08

Spatial transcriptomics (ST) technologies have advanced to enable transcriptome-wide gene expression analysis at submicron resolution over large areas. Analysis of high-resolution ST data relies heavily on image-based cell segmentation or gridding, which often fails in complex tissues due diversity and irregularity size shape. Existing segmentation-free methods scale only small regions a number genes, limiting their utility high-throughput studies. Here we present FICTURE, spatial...

10.1101/2023.11.04.565621 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-11-05

Abstract Skeletal muscle is essential for both movement and metabolic processes, characterized by a complex ordered structure. Despite its importance, detailed spatial map of gene expression within tissue has been challenging to achieve due the limitations existing technologies, which struggle provide high-resolution views. In this study, we leverage Seq-Scope technique, an innovative method that allows observation entire transcriptome at unprecedented submicron resolution. By applying...

10.1101/2024.02.26.582103 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-02-29

Machine learning, particularly classification algorithms, constructs mathematical models from labeled data that can predict labels for new data. Using its capability to identify distinguishing patterns among multi-dimensional data, we investigated the impact of three factors on observation architectural scenes: Individuality, education, and image stimuli. An analysis eye-tracking revealed (1) a velocity histogram was unique individuals, (2) students architecture other disciplines could be...

10.16910/jemr.12.2.4 article EN cc-by Journal of Eye Movement Research 2019-07-16

Spatial layouts can have significant influences on the formation and outcomes of social relationships. Physical proximity is thus essential to understanding elemental building blocks networks, dyads. Situating relationships in space instrumental formulating better models collaboration information-sharing organizations more robust theories networks their effects. We propose, develop, test a concept, functional zone, which effectively captures Festinger et al's (1950) classic description...

10.2139/ssrn.2199570 article EN SSRN Electronic Journal 2013-01-01

Research on the enabling factors of innovation has focused either social component organizations or spatial dimensions involved in process. But few have examined aggregate consequences link from layout to networks innovation. Preliminary results this NSF sponsored research were presented at ARCC 2012. The explores how and promote among professionals working indifferent research-intensive organizations. associations between within these organization’s structure are investigated. This paper...

10.17831/rep:arcc%y238 article EN ARCC Conference Repository 2013-01-01
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