포트래이 인사이트
데이터 분석과 AI 기술, 그리고 포트래이가 만들어가는 플랫폼의 생각을 전합니다.
최근 글
글 55편
Engineering and evaluation of precision-glycosylated clickable albumin nanoplatform for targeting the tumor microenvironment
Glycosylation of drug delivery vehicles enables selective tumor microenvironment (TME) targeting but is…
포트래이-
Generation of Super-resolution Images from Barcode-based Spatial Transcriptomics Using Deep Image Prior
Spatial transcriptomics (ST) has revolutionized the field of biology by providing a powerful tool for analyzing gene expression in situ. However, current ST methods, particularly barcode-based methods
포트래이-
Spatial transcriptomics unveils landscape of resistance to concurrent chemo-radiotherapy in hypopharyngeal squamous cell carcinoma: the role of SPP1+ macrophages
Hypopharyngeal squamous cell carcinoma (SCC) is a highly aggressive cancer with a poor prognosis, particularly in advanced stages where…
포트래이-
Analysis of Unmapped RNA-seq Data from Cancer Spatial Transcriptome to Decipher Cancer Microbiome
Recent research increasingly emphasizes the importance of the microbiome in the development and progression of cancer. Thus, exploring the microbiome modulation in tumor microenvironment and understan
포트래이-
Spatial Transcriptomics Reveals Spatially Diverse Cancer-Associated Fibroblast in Lung Squamous Cell Carcinoma Linked to Tumor Progression
While cancer-associated fibroblasts (CAFs) are crucial in influencing tumor growth and immune responses in lung cancer, we still lack a comprehensive understanding of their spatial organization associ
포트래이-
CELLama: Foundation Model for Single Cell and Spatial Transcriptomics by Cell Embedding Leveraging Language Model Abilities
Large-scale single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) have transformed biomedical research into a data-driven field, enabling the creation of comprehensive data atlases.
포트래이-
SpatialSPM: Statistical parametric mapping for the comparison of gene expression pattern images in multiple spatial transcriptomic datasets
Spatial transcriptomic (ST) techniques help us understand the gene expression levels in specific parts of tissues and organs, providing insights into their biological functions. Even though ST dataset
포트래이-
A Spatial Transcriptomics based Label-Free Method for Assessment of Human Stem Cell Distribution and Effects in a Mouse Model of Lung Fibrosis
Recently, cell therapy has emerged as a promising treatment option for various disorders. Given the intricate mechanisms of action (MOA) and heterogenous distribution in target tissues inherent to cel
포트래이-
IAMSAM : Image-based Analysis of Molecular signatures using the Segment-Anything Model
Spatial transcriptomics is a cutting-edge technique that combines gene expression data with spatial information, allowing researchers to…
포트래이-필진
포트래이 필진
포트래이의 인사이트를 기록하고 쌓아갑니다.