uce
Datasets
All datasets matching “uce”ucecuce-spleen-traditional-vs-uce-comparison
Mouse spleen scRNA-seq: UCE-refined vs Traditional Scanpy annotation
Comparison bundle for Rad54b exon3 KO vs WT mouse spleen scRNA-seq (n=3/genotype, male C57BL/6).
Contents
Path
Description
UCE_vs_Traditional_comparison_bundle.zip
Full downloadable pack (~20 MB)
figures/
PNG + PDF comparison figures
tables/
Confusion matrices, composition log2FC, Leiden markers, summary JSON
markers/
Traditional marker panel (CSV long/wide + JSON)… See the full description on the dataset page: https://huggingface.co/datasets/Evenli2026/uce-spleen-traditional-vs-uce-comparison.tcga-ucec-embedding
TCGA-UCEC endometrial pathology: page images + ColPali embeddings
Read-only serving assets for an endometrial pathology report review tool,
derived from the public TCGA / GDC endometrial (UCEC) corpus. All source
data is public and de-identified; embeddings come from the open-weight ColPali
model.
Contents
<patient_filename>/page_NNN.png -- rendered report page images at 200 DPI
(545 cases, 1921 pages), one folder per case.
<patient_filename>.npz -- ColPali page… See the full description on the dataset page: https://huggingface.co/datasets/reversely/tcga-ucec-embedding.tcga-ucec-tabular-open
TCGA-UCEC — Tabular (Open Access)
Open-access TCGA-UCEC 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 04:24:58 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-ucec-tabular-open.OpenOrca-tr
Includes a part of OpenOrca dataset in Turkish language
The Subset of OpenOrca dataset in turkish language comprises 798350 pairs of questions and answers in Turkish,
predominantly translated from English using Google Translate.
Wherever possible, specific terminology and unique names were retained unchanged in the translation process.
Feel free to submit pull requests to enhance the quality of the dataset.
Contact: https://www.linkedin.com/in/ugur-cekmez/
uce-spleen-mechanistic-logic
Rad54b-KO 五模块机制逻辑（计划书 + scRNA KO vs WT 趋势）
Quick answers
整体实验逻辑是否合理？是——作为可检验假说程序成立（DNA damage → STING/IFN → emergency granulopoiesis → neutrophilia/LDG → NETosis/SLE）。不是“已被 scRNA 证明的因果链”。
单细胞上有没有对应的 KO vs WT 趋势？部分有：
强： neutrophilia（Granulocyte log2FC ≈ +2.66；Neutrophil 主导）
部分： LDG-like ↑（非唯一驱动）；Csf3/Cxcl2/Tnf 转录提示
无/未确认： IFN signature；STING 依赖；Gran 上 emergency score；NETosis/自身抗体
详见 KO_vs_WT_scRNA_trend_map.md 与 tables/KO_vs_WT_logic_trend_map.csv。… See the full description on the dataset page: https://huggingface.co/datasets/Evenli2026/uce-spleen-mechanistic-logic.