:: Library Catalog

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Bibliográfalaš dieđut
Váldodahkkit:	Choi, Yoon Young, Kim, Ki-Tae
Materiálatiipa:	Recurso digital
Giella:
Almmustuhtton:	Zenodo 2027
Liŋkkat:	https://doi.org/10.5281/zenodo.20045345
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!

Geahča maid

Xenium‐based spatial transcriptomic analyses uncover prognosis‐associated heterogeneity in the tumor microenvironment ( TME ) of angioimmunoblastic T‐cell lymphoma ( AITL )
Dahkki: Jiyan Dong, et al.
Almmustuhtton: (2026)

chuvalab/Xenium_IMC_OVA: spatial omics analysis pipeline
Dahkki: fuweilumc
Almmustuhtton: (2025)

Dataset of Xenium image (Sep, 21, 2024)
Dahkki: Miyashita, Satoshi
Almmustuhtton: (2025)

Metadata for scRNA and Xenium data for eosinophil intestinal remodeling analysis
Dahkki: Sun, Amanda
Almmustuhtton: (2026)

Preoperative and Intraoperative Risk Factors for Short‐Term Corneal Endothelial Cell Loss After Phacoemulsification in Dogs: A Comparative Study
Dahkki: Tae‐Won Yoon, et al.
Almmustuhtton: (2025)

Self‐Assembly of Hydration‐Dependent Quasi‐Spherical Mixed Micelles into Selective Mesoscale Complex Crystalline Structures
Dahkki: Young‐Jin Yoon, et al.
Almmustuhtton: (2025)

Soft Sputtering of Large‐Area 2D MoS2 Layers Using Isolated Plasma Soft Deposition for Humidity Sensors
Dahkki: Hye‐Young Youn, et al.
Almmustuhtton: (2024)

Wnt niche-driven clonal selection underlies genomic divergence in gastric cancer patient-derived organoids
Dahkki: Choi, Yoon Young, et al.
Almmustuhtton: (2027)

Gastric cancer Xenium sample - BS06-9313-8_Tumor
Dahkki: Hwang Lab
Almmustuhtton: (2026)

Gastric cancer Xenium sample - BS06-9313-1_Normal
Dahkki: Hwang Lab
Almmustuhtton: (2025)

Non-thermal WIMPy Baryogenesis with Primordial Black Hole
Dahkki: Choi, Ki-Young, et al.
Almmustuhtton: (2023)

Preliminary clinical evaluation of the treatment efficacy of a temperature‐adjustable cryotherapy device for chronic, recurrent blepharitis in dogs
Dahkki: Hyun‐Wook Kim, et al.
Almmustuhtton: (2024)

Protocol to decipher complex spatial transcriptomics data using STMiner
Dahkki: Sun, Peisen
Almmustuhtton: (2025)

Mini bat organs reveal hidden viral threats
Dahkki: Hyunjoon Kim, et al.
Almmustuhtton: (2025)

P‐53: Analysis of dead pixel origins and potential defect prediction using machine learning with tabular data
Dahkki: Jun Hee Han, et al.
Almmustuhtton: (2024)

Distribution-free screening of spatially variable genes in spatial transcriptomics
Dahkki: Wang, Changhu, et al.
Almmustuhtton: (2026)

Large-scale spatial variable gene atlas for spatial transcriptomics
Dahkki: Chen, Jiawen, et al.
Almmustuhtton: (2025)

UniForm: A Reuse Attention Mechanism Optimized for Efficient Vision Transformers on Edge Devices
Dahkki: Yeom, Seul-Ki, et al.
Almmustuhtton: (2024)

Effect of Hydrophobic Acrylic Monomers with Different Alkyl Side Chain Lengths on Reducing the Glistening of Hydrophobic Acrylic Intraocular Lens Materials
Dahkki: Tae Hyoung Kim, et al.
Almmustuhtton: (2024)

Extended Universal Joint Source-Channel Coding for Digital Semantic Communications: Improving Channel-Adaptability
Dahkki: Kim, Eunsoo, et al.
Almmustuhtton: (2026)

Atypical Lymphocytosis Induced by T Cell‐Engaging Therapy in Patients With Hematological Malignancies
Dahkki: Tae‐Shin Kim, et al.
Almmustuhtton: (2025)

Categorization of 33 computational methods to detect spatially variable genes from spatially resolved transcriptomics data
Dahkki: Yan, Guanao, et al.
Almmustuhtton: (2024)

Theme-Explanation Structure for Table Summarization using Large Language Models: A Case Study on Korean Tabular Data
Dahkki: Kwack, TaeYoon, et al.
Almmustuhtton: (2025)

Discovery of a novel alpha isoform of the long‐known enzyme LDHA provides new insights into cancer research
Dahkki: Wonyoung Park, et al.
Almmustuhtton: (2025)

Efficacy and Safety of Silodosin for the Treatment of Female LUTS: A 12‐Week Prospective, Single‐Center Study
Dahkki: Chung Beum Wee, et al.
Almmustuhtton: (2025)

Knowledge Synthesis of Photosynthesis Research Using a Large Language Model
Dahkki: Yoon, Seungri, et al.
Almmustuhtton: (2025)

UM-Depth : Uncertainty Masked Self-Supervised Monocular Depth Estimation with Visual Odometry
Dahkki: Um, Tae-Wook, et al.
Almmustuhtton: (2025)

High‐Performance Flexible 2D Tellurium Semiconductor Grown by Isolated Plasma Soft Deposition for Wearable and Flexible Temperature Sensors
Dahkki: Tae‐Yang Choi, et al.
Almmustuhtton: (2025)

A Disease-Specific Foundation Model Using Over 100K Fundus Images: Release and Validation for Abnormality and Multi-Disease Classification on Downstream Tasks
Dahkki: Jang, Boa, et al.
Almmustuhtton: (2024)

Integrating spatially-resolved transcriptomics data across tissues and individuals: challenges and opportunities
Dahkki: Guo, Boyi, et al.
Almmustuhtton: (2024)

Sustainable Liquid‐Organic‐Hydrogen‐Carrier‐Based Hydrogen‐Storage Technology Using Crude or Waste Feedstock/Hydrogen
Dahkki: Dongun Kim, et al.
Almmustuhtton: (2024)

On the Physical Layer Security of Visible Light Communications Empowered by Gold Nanoparticles
Dahkki: Han, Geonho, et al.
Almmustuhtton: (2022)

Prediction of vasopressor needs in hypotensive emergency department patients using serial arterial blood pressure data with deep learning
Dahkki: Yeongho Choi, et al.
Almmustuhtton: (2024)

stFormer: a foundation model for spatial transcriptomics
Dahkki: Cao, Shenghao
Almmustuhtton: (2025)

Chemical characteristics of the assigned elemental formulas from the FT-ICR MS data of Arctic aerosol-derived organic matter collected in Ny-Ålesund in May 2015
Dahkki: Jang, Kyoung-Soon, et al.
Almmustuhtton: (2019)

Calpain– MMP 3 activation restricts nuclear uptake during protein transduction domain TAT ‐mediated protein delivery
Dahkki: Jin Hyeop Kim, et al.
Almmustuhtton: (2026)

Processed scRNA-seq and Visium spatial transcriptomics of mouse choroid plexus in stroke and sham conditions
Dahkki: Zhu, Haoyang
Almmustuhtton: (2026)

Therapeutic Evaluation of the Suprachoroidal Space for Stem Cell Delivery in Retinal Degeneration
Dahkki: Hyun Hee Seo, et al.
Almmustuhtton: (2026)

(Supplement S4) Chemical characteristics of the assigned elemental formulas from the FT-ICR MS data of Arctic aerosol-derived organic matter collected in Ny-Ålesund, 08-11 May
Dahkki: Jang, Kyoung-Soon, et al.
Almmustuhtton: (2019)

(Supplement S2) Chemical characteristics of the assigned elemental formulas from the FT-ICR MS data of Arctic aerosol-derived organic matter collected in Ny-Ålesund, 02-05 May
Dahkki: Jang, Kyoung-Soon, et al.
Almmustuhtton: (2019)