Name | Version | Summary | date |
FineST |
0.0.9 |
FineST: Fine-grained Spatial Transcriptomic |
2024-12-18 15:04:21 |
SpaHDmap |
0.0.3 |
Interpretable high-definition dimension reduction of spatial transcriptomics data by SpaHDmap |
2024-11-23 13:19:56 |
topovelo |
0.0.1a1 |
topological velocity inference from single-cell spatial transcriptomic data |
2024-11-17 20:31:24 |
step-kit |
0.2.8 |
STEP, an acronym for Spatial Transcriptomics Embedding Procedure, is a deep learning-based tool for the analysis of single-cell RNA (scRNA-seq) and spatially resolved transcriptomics (SRT) data. STEP introduces a unified approach to process and analyze multiple samples of scRNA-seq data as well as align several sections of SRT data, disregarding location relationships. Furthermore, STEP conducts integrative analysis across different modalities like scRNA-seq and SRT. |
2024-11-13 08:42:33 |
NODE-deconvolution |
0.1.5 |
A Python program for deconvolution spatial transcriptomics data and inference of spatial communication |
2024-10-30 08:07:24 |
SpaGRA |
1.0.0 |
Relation-aware graph augmentation with geometric contrastive learning improves the domains identification from spatially resolved transcriptomics data |
2024-08-12 12:57:12 |
gaston-spatial |
0.0.1 |
GASTON: interpretable deep learning model for spatial transcriptomics |
2024-08-01 00:29:17 |
NODE-deconvolution-scipy |
0.1.3 |
A Python program for deconvolution spatial transcriptomics data and inference of spatial communication |
2024-05-04 12:02:47 |
SpatialDM |
0.2.0 |
SpatialDM: Spatial co-expression Detected by bivariate Moran |
2024-04-28 09:50:47 |
dissect-deconv |
0.1 |
|
2024-01-11 15:48:42 |
SOAPy-st |
0.1.4 |
Spatial Omics Analysis in Python |
2024-01-02 13:39:15 |
HumanHeartSpatial |
0.0.3 |
Python package for analysis of slide-seq data on heart tissue |
2023-10-12 04:38:28 |
SpatialHumanHeart |
0.0.4 |
Python package for analysis of slide-seq data on heart tissue |
2023-10-12 02:40:16 |
HumanSpatialHeart |
0.0.6 |
Python package for analysis of slide-seq data on heart tissue |
2023-10-12 02:24:55 |
ecmanalysis |
0.0.18 |
Tools for analysis of the extracellular matrix |
2023-01-18 13:45:30 |