brca
Datasets
All datasets matching “brca”tcga-brca-titan-idc-ilc
tcga-brca-titan-idc-ilc
1. Tổng quan
[CẦN ĐIỀN THỦ CÔNG: mục đích, ngữ cảnh tạo dataset]
Tổng số bản ghi (cộng tất cả manifest phát hiện được): 4228
Số manifest phát hiện được trong bộ nhớ: 3 (df, brca_df, full_df)
Repo HuggingFace: okbro1234/tcga-brca-titan-idc-ilc
2. Cấu trúc lưu trữ tại đích
/ # suy từ hàm `HfApi`
file.txt # suy từ hàm `HfApi`
lfs.bin # suy từ hàm `HfApi`
shard_{i}_of_5.bin # suy từ hàm `HfApi`
remote/file/path.h5 #… See the full description on the dataset page: https://huggingface.co/datasets/okbro1234/tcga-brca-titan-idc-ilc.tcga-brca-tabular-open
TCGA-BRCA — Tabular (Open Access)
Open-access TCGA-BRCA data from the NCI Genomic Data Commons, reshaped into one table per GDC data_type. Clinical, biospecimen and every open molecular modality for this cohort, in one place, queryable without downloading a single .tar or parsing a single TSV.
GDC data release: Data Release 46.0 - August 10, 2026
Built: 2026-09-12 03:47:01 UTC
Scope: one TCGA project — see [the family][repo] for the others
from datasets import load_dataset… See the full description on the dataset page: https://huggingface.co/datasets/gabrielaltay/tcga-brca-tabular-open.ZoomLDM-demo-dataset-BRCADemo dataset for our CVPR 2025 paper "ZoomLDM: Latent Diffusion Model for multi-scale image generation". We extract patches from TCGA-BRCA Whole slide images.
Usage
from datasets import load_dataset
ds = load_dataset("StonyBrook-CVLab/ZoomLDM-demo-dataset", name="5x", trust_remote_code=True, split='train')
print(np.array(ds[0]['ssl_feat']).shape)
>>> (1024, 16, 16)
Citations
@InProceedings{Yellapragada_2025_CVPR,
author = {Yellapragada, Srikar and Graikos… See the full description on the dataset page: https://huggingface.co/datasets/StonyBrook-CVLab/ZoomLDM-demo-dataset-BRCA.graph-tcga-brca
Graph-TCGA-BRCA: A Cell-Graph Dataset for Breast Cancer from TCGA-BRCA
Graph-TCGA-BRCA is a graph-level classification dataset derived from the TCGA-BRCA histopathology dataset. Each 224x224 patch image is converted into a cell-graph where nodes represent detected cell nuclei and edges encode spatial proximity, enabling graph-based learning for fine-grained breast lesion subtyping across 2 clinically relevant classes. Note that node features describe cell morphology, texture… See the full description on the dataset page: https://huggingface.co/datasets/ogutsevda/graph-tcga-brca.BRCancerbiolatent-brca-tcgaYear: 2025License: TCGA/GDC Data Use PoliciesAuthor: Sepideh Moafi
BioLatent-BRCA-TCGA Dataset
Dataset Summary
A processed transcriptomic dataset derived from TCGA-BRCA RNA-seq data, developed as part of the OmniLatent research project for representation learning on high-dimensional gene-expression data.
The dataset contains 1,231 samples × 23,375 genes with log1p(TPM) transformation and gene filtering applied.
Source and Provenance
Source: NCI… See the full description on the dataset page: https://huggingface.co/datasets/Sepideh2027/biolatent-brca-tcga.