omics
Datasets
All datasets matching “omics”precancer-omics-data
Precancer → Tumor → Late/Metastatic Progression Multi-omics
A curated, continuously-harvested collection of publicly available human multi-omics
datasets spanning the full tumor trajectory: precancerous lesions → early carcinoma →
advanced / metastatic. Single-cell and spatial transcriptomics are prioritized.
⚠️ Provenance & licensing. Every dataset here was downloaded from a public,
open-access repository (no controlled-access or patient-identifiable data). Each dataset… See the full description on the dataset page: https://huggingface.co/datasets/wei82/precancer-omics-data.Paladin_TCGA_CPTAC_omicsPaladin TCGA & CPTAC Spatial Omics Maps
Ready-to-use patch-level and slide-level spatial omics maps inferred by
Paladin from TCGA and CPTAC
whole-slide images. The released .Paladin.h5 files can be analyzed directly
without rerunning WSI inference.
The collection is populated in stages. Check Files and versions for the
cohorts currently available.
Spatial multi-omics example
The panels show the H&E WSI, a reference tumor mask, CNV burden, TP53 CNV,
DNA-methylation… See the full description on the dataset page: https://huggingface.co/datasets/zhihuanglab/Paladin_TCGA_CPTAC_omics.gfme-prescored-dbsepsis-omics-datasets
脓毒症 (Sepsis) 公共组学与临床数据集合
冻结快照 · 2026-06-20 · 共 500 个数据集 · 7.4 GB · 全部带文件、信息卡与元数据
本仓库系统收集与脓毒症 / 败血症 / 脓毒性休克 / 菌血症 / 内毒素血症 / SIRS 相关的公开数据，
覆盖转录组、单细胞、空间转录组、蛋白质组、代谢组、外泌体、微生物组、表观（甲基化/染色质）以及
临床试验与药物数据。检索关键词：sepsis, septic shock, septicemia, septicaemia, bacteremia, endotoxemia, SIRS。
数据来源
数据库
数据集数
GEO
133
ClinicalTrials.gov
121
ArrayExpress/BioStudies
108
PRIDE/ProteomeXchange
75
Metabolomics Workbench
38
MetaboLights
25
数据类型… See the full description on the dataset page: https://huggingface.co/datasets/wei82/sepsis-omics-datasets.CortexJEPAData
CortexJEPAData
Minimal cortex spatial transcriptomics H5AD files prepared for CortexJEPA.
Data Contents
Each .h5ad file keeps:
X: expression matrix
obs_names: spot/cell identifiers
var_names: gene identifiers
obsm["spatial"]: spatial coordinates
fine-tuning labels only for selected training splits:
c.macaque/pretrain: obs["layer"]
d.marmoset/pretrain: obs["layer"] and obs["PrAl"]
developmental-stage grouping for d.marmoset/test/development: obs["segment"] only… See the full description on the dataset page: https://huggingface.co/datasets/BGI-Hangzhou-OmicsAI/CortexJEPAData.omicsbench-questions
omicsbench-questions
Questions used for producing the OmicsBench manuscript.