bioinfo-biols / Flow2SpatialLinks
Flow2Spatial reconstructs spatial proteomics through transfer learning.
☆22Updated 7 months ago
Alternatives and similar repositories for Flow2Spatial
Users that are interested in Flow2Spatial are comparing it to the libraries listed below
Sorting:
- ☆50Updated 2 months ago
- The first computational tool that enables both unsupervised and supervised discovery of tissue spatial domains☆33Updated 8 months ago
- Python package to generate high dimensional Flow Cytometry datasets using imputation by XGBoost regression☆11Updated last year
- CeLEry: cell location recovery in single-cell RNA sequencing☆35Updated 10 months ago
- ☆50Updated 9 months ago
- An optimal transport-based algorithm for inferring cell trajectories of spatial transcriptomics.☆35Updated 8 months ago
- ☆17Updated last year
- ☆13Updated 2 years ago
- Perturbation-response Score (PS) analysis is a method to quantify diverse perturbation responses and discover novel biological insights i…☆17Updated last year
- Spatial direct messaging detected by bivariate Moran☆31Updated 5 months ago
- ☆34Updated last month
- STRIDE (Spatial TRanscRIptomics DEconvolution by topic modelling) is a cell-type deconvolution tool for spatial transcriptomics by using …☆17Updated 3 years ago
- ☆25Updated 8 months ago
- ☆13Updated last year
- CellDrift: temporal perturbation effects for single cell data☆13Updated 3 years ago
- Hotspot cluster distance analysis in spatial transcriptomic data☆33Updated 10 months ago
- SPROD: Spatial expression profiling de-noising☆36Updated 2 years ago
- Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional…☆27Updated last year
- Reproducing the experiments of the DestVI paper☆22Updated 3 years ago
- single cell analysis of treatment naive and treated human PDAC☆25Updated 3 years ago
- StereoMM is a graph fusion model that can integrate gene expression, histological images, and spatial location. And the information inter…☆37Updated last week
- MeDuSA is a fine-resolution cellular deconvolution method that leverages scRNA-seq data as a reference to estimate cell-state abundance i…☆43Updated 10 months ago
- Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data☆40Updated last year
- Python agent-based model tool for inference, visualization and analysis of cell-cell communication from single-cell data☆34Updated 3 weeks ago
- Analysis of imbalanced data and its impacts in a scRNA-seq integration setting☆31Updated 9 months ago
- Cell level integrated analysis of tissue histology and spatial transcriptomics☆28Updated 2 months ago
- ☆11Updated 2 years ago
- ☆20Updated 9 months ago
- CAST package☆41Updated last year
- Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…☆22Updated 6 months ago