perturb
Datasets
All datasets matching “perturb”wholebrain_crispr_atlas
PerturbAI Brain-Wide In Vivo CRISPR Atlas
This dataset represents a landmark in functional genomics: spanning 8 million single cells in living tissue and hundreds of distinct neuronal cell types, this is the most expansive in vivo functional genomics resource ever created. By mapping the language of biology at an unprecedented scale, our platform provides the foundation for the next generation of AI-driven therapeutic discovery.
Manuscript: “Genome-scale functional mapping of… See the full description on the dataset page: https://huggingface.co/datasets/perturbai/wholebrain_crispr_atlas.chem-perturbridge
Chem-PerturBridge
Processed standardized expression .h5ad files and differential gene expression (DGE) .h5ad outputs from Chem-PerturBridge datasets whose upstream terms allow redistribution.
This repository contains:
processed group-replicate bulk or pseudobulk input files under <dataset>/
DGE outputs under <dataset>/group_rep/ and <dataset>/sep_rep/
The DGE replicate modes indicate whether the DGE analysis was run using all replicates or per replicate (for within-dataset… See the full description on the dataset page: https://huggingface.co/datasets/theislab/chem-perturbridge.PerturbDiff_dataefficientnet-v2-l-adv-dataset
Perturb Adversarial Images
Verified adversarial examples for efficientnet_v2_l (torchvision/EfficientNet_V2_L_Weights.IMAGENET1K_V1), produced by the
Perturb network. Each row is one clean image together with all of its
verified adversarial versions: images that are imperceptibly different from the original
(L∞ ≤ 0.03 in [0,1] pixel scale) yet change the model's top-1 prediction.
This dataset grows continuously. New rows are appended as the network produces them and uploaded in… See the full description on the dataset page: https://huggingface.co/datasets/perturb-ai/efficientnet-v2-l-adv-dataset.Perturb-Sapiens
Perturb Sapiens: A Human Whole-Organism Atlas of Perturbed Cells
Dataset Description
Perturb Sapiens is an evolving database of AI-predicted single-cell perturbation responses, representing the first human whole-organism atlas of perturbed cells.
Perturb Sapiens is generated using the post-trained Stack model (Stack-Large-Aligned), an in-context learning foundation model for single-cell biology.
Data Sources:
Prompt Data: Parse/OpenProblems PBMC perturbation data
Query… See the full description on the dataset page: https://huggingface.co/datasets/arcinstitute/Perturb-Sapiens.perturbseq_normalized
CellClip public normalized perturbation single-cell release
This public repository contains the source-cleared, human, cell-level portion
of CellClip Stage 1: 254 H5AD files, 12,718,270 cells, and
260,859,318,437 payload bytes. These are processed derivatives rather than
the original raw download archives.
Source partition
Units
Cells
Reference cells
Effect cells
scPerturb (23 genepert + 229 chempert)
252
4,774,802
397,528
4,377,274
XCell / X-Atlas Orion (genepert)… See the full description on the dataset page: https://huggingface.co/datasets/cfy2yue/perturbseq_normalized.