Topics · Data · Molecular data
Spatial omics
Work that measures or analyses molecules while keeping the position of each cell or spot in the tissue, such as spatial transcriptomics or proteomics. Not for imaging without molecular measurements.
In Data › Molecular data62 works2 people20 toolsSingle-cell and spatial atlases
People2
Fabian Theis
Principal investigator
Single-cell genomics · Bulk omics and genetics · Perturbation responses
AlumniIlan Gold
Publications62
Topic: Deep learning and generative modelsG2T: Tissue Reconstruction from Gene Expression via Embedding-Distance Flow Matching
Topic: Deep learning and generative modelsLearning Discrete Cell and Niche Codes from Spatial Transcriptomics Using Dual Residual Vector Quantization
Topic: Immunity and inflammationChemokine Landscapes of the Tumor Microenvironment
Topic: Spatial omicsMulti-scale modeling of human tissues from spatial transcriptomics with TERRA
Topic: Spatial omicsSpatioTemporal Omics Consortium: a global effort for biological discovery across species, space and time
Topic: Deep learning and generative modelsCellpin enables reference-based imputation and denoising of spatial transcriptomes
Topic: Deep learning and generative modelsInterScale reveals multi-scale cellular interaction programs in spatial transcriptomics
Topic: Spatial omicsPan-cancer virtual spatial transcriptomics from routine histology with Phoenix
Topic: Cell atlasesAn integrated single cell and spatial omics atlas of human prenatal development
Topic: Data integrationBeyond alignment: synergistic integration is required for multimodal cell foundation models
Topic: Spatial omicsIdentifying 3D signal overlaps in spatial transcriptomics data with ovrlpy
Topic: Deep learning and generative modelsFrom modality-specific to compositional foundation models for cell biology
Topic: Single-cell genomicsDISCO-seq: 3D single-cell transcriptomics of intact biological systems
Topic: Spatial omicsExploration of RNA outside segmented cells in spatial transcriptomics reveals extrasomatic RNA organization
Topic: Open-source softwareQuiCAT: a scalable and flexible framework for mapping synthetic sequences
Topic: Cell atlasesSpatial single-cell atlas reveals regional variations in healthy and diseased human lung
Topic: Data integrationFADVI: disentangled representation learning for robust integration of single-cell and spatial omics data
Topic: Deep learning and generative modelsNicheformer: a foundation model for single-cell and spatial omics
Topic: Spatial omicsNicheFlow - Data, Checkpoints, and Results
Topic: Deep learning and generative modelsscConcept: Contrastive pretraining for technology-agnostic single-cell representations beyond reconstruction
Topic: Spatial omicsAdvancing spatial biology analysis across programming languages
Topic: Deep learning and generative modelsGraph neural networks learn emergent tissue properties from spatial molecular profiles
Topic: Gene regulationSingle-cell multiome and spatial profiling reveals pancreas cell type–specific gene regulatory programs of type 1 diabetes progression
Topic: Spatial omicsIntegration of cell-type resolved spatial proteomics and transcriptomics reveals novel mechanisms in early ovarian cancer
Topic: Spatial omicsSpatial proteo-transcriptomic profiling reveals the molecular landscape of borderline ovarian tumors and their invasive progression
Topic: Benchmarks and best practicesSpatial transcriptomics deconvolution methods generalize well to spatial chromatin accessibility data
Topic: Cell atlasesCharting the single-cell and spatial landscape of IDH-wild-type glioblastoma with GBmap
Topic: Deep learning and generative modelsTowards multimodal foundation models in molecular cell biology
Topic: Deep learning and generative modelsQuantitative characterization of cell niches in spatially resolved omics data
Topic: Benchmarks and best practicesOptimizing Xenium In Situ data utility by quality assessment and best-practice analysis workflows
Topic: Metabolism and diabetesSpatial profiling of human pancreas during type 1 diabetes progression
Topic: Spatial omicsWhat is the main bottleneck in deriving biological understanding from spatial transcriptomic profiling?
Topic: Single-cell genomicsMapping cells through time and space with moscot
Topic: Brain and mental healthOpportunities and challenges of single-cell and spatially resolved genomics methods for neuroscience discovery
Topic: Spatial omicsProbe set selection for targeted spatial transcriptomics
Topic: Open-source softwareVitessce: integrative visualization of multimodal and spatially resolved single-cell data
Topic: Gene regulationEndothelial regulatory circuits control cranial neural crest migration and plasticity
Topic: Deep learning and generative modelsWeakly supervised learning uncovers phenotypic signatures in single-cell data
Topic: Single-cell genomicsPanpipes: a pipeline for multiomic single-cell and spatial transcriptomic data analysis
Topic: Spatial omicsGraphCompass: spatial metrics for differential analyses of cell organization across conditions
Topic: Data integrationMachine learning integrative approaches to advance computational immunology
Topic: Brain and mental healthShared inflammatory glial cell signature after stab wound injury, revealed by spatial, temporal, and cell-type-specific profiling of the murine cerebral cortex
Topic: Spatial omicsSpatialData: an open and universal data framework for spatial omics
Topic: Deep learning and generative modelsQuantitative characterization of cell niches in spatial atlases
Topic: Cell fate and dynamicsSfrp1 inhibits lung fibroblast invasion during transition to injury-induced myofibroblasts
Topic: Spatial omicsA spatially resolved extracellular matrix proteome atlas of the distal human lung
Topic: Single-cell genomicsRobust dimethyl‐based multiplex‐DIA doubles single‐cell proteome depth via a reference channel
Topic: Spatial omicsWhat do you most hope spatial molecular profiling will help us understand? Part 1
Topic: Deep learning and generative modelsLearning consistent subcellular landmarks to quantify changes in multiplexed protein maps
Topic: Single-cell genomicsSingle-cell profiling to explore pancreatic cancer heterogeneity, plasticity and response to therapy
Topic: Immunity and inflammationSpatial transcriptomics landscape of lesions from non-communicable inflammatory skin diseases
Topic: Spatial omicsSpatial proteomics in three-dimensional intact specimens
Topic: Deep learning and generative modelsModeling intercellular communication in tissues using spatial graphs of cells
Topic: Spatial omicsProteomics of spatially identified tissues in whole organs
Topic: Data integrationIntegration and querying of multimodal single-cell data with PoE-VAE
Topic: Spatial omicsSpatial components of molecular tissue biology
Topic: Open-source softwareA Python library for probabilistic analysis of single-cell omics data
Topic: Spatial omicsSquidpy: a scalable framework for spatial omics analysis
Topic: Cell atlasesThe discovAIR project: a roadmap towards the Human Lung Cell Atlas
Topic: Immunity and inflammationLow numbers of cytokine transcripts drive inflammatory skin diseases by initiating amplification cascades in localized epidermal clusters
Topic: Spatial omicsSquidpy: a scalable framework for spatial single cell analysis
Topic: Cell atlasesThe Human Lung Cell Atlas: A High-Resolution Reference Map of the Human Lung in Health and Disease
Software20
Squidpy
Spatial Single Cell Analysis in Python
612v1.8.49 d agoPython
SpatialData
An open and interoperable data framework for spatial omics data
407v0.8.04 mo agoPython
moscot
Multi-omic single-cell optimal transport tools.
219v0.5.22 mo agoPython
nicheformer
Repository for Nicheformer: a foundation model for single-cell and spatial omics
179Jupyter Notebook
spatialdata-io
108v0.7.14 mo agoPython
napari-spatialdata
Interactive visualization of spatial omics data
91v0.7.24 mo agoPython
spatialdata-plot
Static plotting for spatialdata
89v0.4.329 d agoPython
spapros
Python package for Probe set selection for targeted spatial transcriptomics.
510.1.612 mo agoPython
graphcompass
GraphCompass: Graph Comparison Tools for Differential Analyses in Spatial Systems
39Jupyter Notebook
troutpy
Package for the analysis of Transcripts outside segmented cells in ST data
32v0.2.026 d agoJupyter Notebook
campa
Conditional Autoencoders for Multiplexed Pixel Analysis
19v1.1.04 y agoJupyter Notebook
interscale
InterScale: multi-scale cellular interaction analysis model for spatial transcriptomics
14v0.2.06 mo agoPython
tissue_tensorflow
8Python
deconvATAC
Spatial transcriptomics deconvolution methods generalize well to spatial chromatin accessibility data
6Jupyter Notebook
spatial_atlas_ssl
Self-supervised learning for mask inpainting on large spatial atlasses such as the BICCN 2.0 data.
5Jupyter Notebook
txsim
5v0.1.22 y agoPython
tissue
4v1.016 mo agoPython
spatialdata-db-client
3primers-2026-11-013 d agoPython
quicat
2v0.1.215 mo agoPython
sprotmetrics
Quality metrics for imaging-based spatial proteomics: segmentation, signal-to-background, normalization, marker distribution and technical-covariate diagnostics.
2v0.1.019 d agoPython