Triplicates from 23 breast cancer patients with luminal a, luminal b, triple-negative, and HER2-positive subtypes. Please refer to metadata.csv for patient, replicate, and subtype associations. All samples were produced using the protocol described in [1]. [1]: http://doi.org/10.1126/science.aaf2403 Changes in Version 2: - Added indices to spot files - Dropped sample with bad spot data (23901_C1
Figure S2. t-SNE plots showing subtype clustering of Luminal A cases in the TCGA cohort according to...
Full RNA-Seq is a fundamental research tool for whole transcriptome analysis. However, it is too cos...
Background. The cancer transcriptome is difficult to explore due to the heterogeneity of quantitativ...
Triplicates from 23 breast cancer patients with luminal a, luminal b, triple-negative, and HER2-posi...
This repository contains spatial transcriptomics data related to the Wu et al. 2021 study "A single-...
Processed count matrices, brightfield HE-images (plain and annotated), spot selection files and meta...
Research Doctorate - Doctor of Philosophy (PhD)Breast cancers have been uncovered by high-throughput...
Combined analyses of molecular data, such as DNA copy-number alteration, mRNA and protein expression...
Invasive ductal carcinoma is the most common type of breast cancer. Here, we provide a whole transcr...
The breast is a dynamic organ whose response to physiological and pathophysiological conditions alte...
Spatial transcriptomic data (counts_DSP_afterQC_normalisation.csv) derived using the Nanostring GeoM...
ent molecular subtypes of breast cancer with prognostic significance. To transition these classifica...
Processed count matrices, brightfield HE-images (plain and annotated), spot selection files and meta...
(A) Heatmap of 54 normal human tissues displaying mRNA transcription data of CSRs, produced through ...
Combined analyses of molecular data, such as DNA copy-number alteration, mRNA and protein expression...
Figure S2. t-SNE plots showing subtype clustering of Luminal A cases in the TCGA cohort according to...
Full RNA-Seq is a fundamental research tool for whole transcriptome analysis. However, it is too cos...
Background. The cancer transcriptome is difficult to explore due to the heterogeneity of quantitativ...
Triplicates from 23 breast cancer patients with luminal a, luminal b, triple-negative, and HER2-posi...
This repository contains spatial transcriptomics data related to the Wu et al. 2021 study "A single-...
Processed count matrices, brightfield HE-images (plain and annotated), spot selection files and meta...
Research Doctorate - Doctor of Philosophy (PhD)Breast cancers have been uncovered by high-throughput...
Combined analyses of molecular data, such as DNA copy-number alteration, mRNA and protein expression...
Invasive ductal carcinoma is the most common type of breast cancer. Here, we provide a whole transcr...
The breast is a dynamic organ whose response to physiological and pathophysiological conditions alte...
Spatial transcriptomic data (counts_DSP_afterQC_normalisation.csv) derived using the Nanostring GeoM...
ent molecular subtypes of breast cancer with prognostic significance. To transition these classifica...
Processed count matrices, brightfield HE-images (plain and annotated), spot selection files and meta...
(A) Heatmap of 54 normal human tissues displaying mRNA transcription data of CSRs, produced through ...
Combined analyses of molecular data, such as DNA copy-number alteration, mRNA and protein expression...
Figure S2. t-SNE plots showing subtype clustering of Luminal A cases in the TCGA cohort according to...
Full RNA-Seq is a fundamental research tool for whole transcriptome analysis. However, it is too cos...
Background. The cancer transcriptome is difficult to explore due to the heterogeneity of quantitativ...