Publication date
January 2019
DOIAbstract
Spatial transcriptomics spot data for breast cancer tissue used in the SpatialCPie articl
Spatial transcriptomics spot data for breast cancer tissue used in the SpatialCPie articl
Spatial and molecular characteristics determine tissue function, yet high-resolution methods to capt...
In the past decades, transcriptomic studies have revolutionized cancer treatment and diagnosis. Howe...
The rapid development of spatial transcriptomics (ST) techniques has allowed the measurement of tran...
This repository contains spatial transcriptomics data related to the Wu et al. 2021 study "A single-...
Spatial transcriptomics Breast Cancer H&E stain image used for the article SpatialCPi
This dataset was obtained by in-situ hybridisation of probes to a tissue microarray (TMA) of human t...
The spots is an R package designed for statistical analysis of spatial omics data (10x Visium, SPOTS...
Spatial transcriptomic data (counts_DSP_afterQC_normalisation.csv) derived using the Nanostring GeoM...
Processed count matrices, brightfield HE-images (plain and annotated), spot selection files and meta...
Processed count matrices, brightfield HE-images (plain and annotated), spot selection files and meta...
Triplicates from 23 breast cancer patients with luminal a, luminal b, triple-negative, and HER2-posi...
Spatial transcriptomics (ST) to explore a vast amount of formalin-fixed paraffin-embedded (FFPE) arc...
You can find here the datasets used in the publication: "Charting the Heterogeneity of Colorectal ...
The human lung adenocarcinoma dataset for 'STopover captures spatial colocalization and interaction ...
Recent advances in spatially resolved transcriptomics have greatly expandedthe knowledge of complex ...
Spatial and molecular characteristics determine tissue function, yet high-resolution methods to capt...
In the past decades, transcriptomic studies have revolutionized cancer treatment and diagnosis. Howe...
The rapid development of spatial transcriptomics (ST) techniques has allowed the measurement of tran...
This repository contains spatial transcriptomics data related to the Wu et al. 2021 study "A single-...
Spatial transcriptomics Breast Cancer H&E stain image used for the article SpatialCPi
This dataset was obtained by in-situ hybridisation of probes to a tissue microarray (TMA) of human t...
The spots is an R package designed for statistical analysis of spatial omics data (10x Visium, SPOTS...
Spatial transcriptomic data (counts_DSP_afterQC_normalisation.csv) derived using the Nanostring GeoM...
Processed count matrices, brightfield HE-images (plain and annotated), spot selection files and meta...
Processed count matrices, brightfield HE-images (plain and annotated), spot selection files and meta...
Triplicates from 23 breast cancer patients with luminal a, luminal b, triple-negative, and HER2-posi...
Spatial transcriptomics (ST) to explore a vast amount of formalin-fixed paraffin-embedded (FFPE) arc...
You can find here the datasets used in the publication: "Charting the Heterogeneity of Colorectal ...
The human lung adenocarcinoma dataset for 'STopover captures spatial colocalization and interaction ...
Recent advances in spatially resolved transcriptomics have greatly expandedthe knowledge of complex ...
Spatial and molecular characteristics determine tissue function, yet high-resolution methods to capt...
In the past decades, transcriptomic studies have revolutionized cancer treatment and diagnosis. Howe...
The rapid development of spatial transcriptomics (ST) techniques has allowed the measurement of tran...
Add to ORKG