Deep probabilistic analysis of single-cell and spatial omics data
- scrna-seq
- variational-bayes
- variational-autoencoder
- cite-seq
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Deep probabilistic analysis of single-cell and spatial omics data
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Spatial Single Cell Analysis in Python
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
Schema and generated objects for biolink data model and upper ontology
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.
Probabilistic cell segmentation for in situ spatial transcriptomics
Repository for Nicheformer: a foundation model for single-cell and spatial omics
🏃 The go-to single-cell Foundation Model
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
Accurate and efficient spot detection for microscopy data
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
The repository host gives no description.
Learning cell communication from spatial graphs of cells
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
The repository host gives no description.
Toolbox for the analysis of smFISH images.
NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Tool for precise, interactive, fast and scalable FISH spot detection
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics
MCP server for spatial transcriptomics analysis through natural language interfaces.