|
r-scdesign3
|
1.2.0-1 |
0 |
0.00
|
A unified framework of realistic in silico data generation and statistical model inference for single-cell and spatial omics |
pekkarr
|
2024-05-05 12:05 (UTC) |
|
r-sfedata
|
1.6.0-1 |
0 |
0.00
|
Example SpatialFeatureExperiment datasets |
pekkarr
|
2024-05-04 18:25 (UTC) |
|
r-alabaster.spatial
|
1.4.0-1 |
0 |
0.00
|
Save and Load Spatial 'Omics Data to/from File |
pekkarr
|
2024-05-04 18:24 (UTC) |
|
r-spotlight
|
1.8.0-1 |
0 |
0.00
|
`SPOTlight`: Spatial Transcriptomics Deconvolution |
pekkarr
|
2024-05-04 18:15 (UTC) |
|
r-spatialheatmap
|
2.10.0-1 |
0 |
0.00
|
Creating spatial heatmaps from R and Shiny |
BioArchLinuxBot
|
2024-05-04 18:13 (UTC) |
|
r-spatiallibd
|
1.16.0-1 |
0 |
0.00
|
an R/Bioconductor package to visualize spatially-resolved transcriptomics data |
pekkarr
|
2024-05-04 18:11 (UTC) |
|
ash-listening-set
|
9.6-1 |
0 |
0.00
|
A dataset of filters for headphone correction and binaural synthesis of spatial audio systems on headphones |
blackhole
|
2024-05-04 05:27 (UTC) |
|
r-tenxvisiumdata
|
1.12.0-1 |
0 |
0.00
|
Visium spatial gene expression data by 10X Genomics |
pekkarr
|
2024-05-04 01:01 (UTC) |
|
r-scfeatures
|
1.4.0-1 |
0 |
0.00
|
Multi-view representations of single-cell and spatial data for disease outcome prediction |
pekkarr
|
2024-05-03 18:38 (UTC) |
|
r-dmrcate
|
2.99.6-1 |
0 |
0.00
|
Methylation array and sequencing spatial analysis methods |
BioArchLinuxBot
|
2024-05-03 15:14 (UTC) |
|
r-lisaclust
|
1.12.0-1 |
0 |
0.00
|
lisaClust: Clustering of Local Indicators of Spatial Association |
BioArchLinuxBot
|
2024-05-03 14:57 (UTC) |
|
r-prolocgui
|
2.14.0-1 |
0 |
0.00
|
Interactive visualisation of spatial proteomics data |
BioArchLinuxBot
|
2024-05-03 14:56 (UTC) |
|
r-spicyr
|
1.16.0-1 |
0 |
0.00
|
Spatial analysis of in situ cytometry data |
BioArchLinuxBot
|
2024-05-03 13:43 (UTC) |
|
r-proloc
|
1.44.0-1 |
0 |
0.00
|
A unifying bioinformatics framework for spatial proteomics |
BioArchLinuxBot
|
2024-05-03 13:41 (UTC) |
|
r-standr
|
1.8.0-1 |
0 |
0.00
|
Spatial transcriptome analyses of Nanostring's DSP data in R |
pekkarr
|
2024-05-03 09:14 (UTC) |
|
r-spiat
|
1.6.0-1 |
0 |
0.00
|
Spatial Image Analysis of Tissues |
pekkarr
|
2024-05-03 09:12 (UTC) |
|
r-scider
|
1.2.0-1 |
0 |
0.00
|
Spatial cell-type inter-correlation by density in R |
pekkarr
|
2024-05-03 09:11 (UTC) |
|
r-hoodscanr
|
1.2.0-1 |
0 |
0.00
|
Spatial cellular neighbourhood scanning in R |
pekkarr
|
2024-05-03 09:08 (UTC) |
|
r-moleculeexperiment
|
1.4.0-1 |
0 |
0.00
|
Prioritising a molecule-level storage of Spatial Transcriptomics Data |
pekkarr
|
2024-05-03 09:07 (UTC) |
|
r-ctsv
|
1.6.0-1 |
0 |
0.00
|
Identification of cell-type-specific spatially variable genes accounting for excess zeros |
pekkarr
|
2024-05-03 09:05 (UTC) |
|
r-despace
|
1.4.0-1 |
0 |
0.00
|
a framework to discover spatially variable genes |
pekkarr
|
2024-05-03 09:04 (UTC) |
|
r-stjoincount
|
1.6.0-1 |
0 |
0.00
|
Join count statistic for quantifying spatial correlation between clusters |
pekkarr
|
2024-05-03 09:03 (UTC) |
|
r-spasim
|
1.6.0-1 |
0 |
0.00
|
Spatial point data simulator for tissue images |
pekkarr
|
2024-05-03 09:02 (UTC) |
|
r-spotclean
|
1.6.0-1 |
0 |
0.00
|
SpotClean adjusts for spot swapping in spatial transcriptomics data |
pekkarr
|
2024-05-03 09:00 (UTC) |
|
r-statial
|
1.6.0-1 |
0 |
0.00
|
A package to identify changes in cell state relative to spatial associations |
pekkarr
|
2024-05-03 08:57 (UTC) |
|
r-stexampledata
|
1.11.1-1 |
0 |
0.00
|
Collection of spatially-resolved transcriptomics datasets in SpatialExperiment Bioconductor format |
pekkarr
|
2024-05-03 08:56 (UTC) |
|
r-spatialde
|
1.10.0-1 |
0 |
0.00
|
R wrapper for SpatialDE |
BioArchLinuxBot
|
2024-05-03 08:52 (UTC) |
|
r-tloh
|
1.12.0-1 |
0 |
0.00
|
Assessment of evidence for LOH in spatial transcriptomics pre-processed data using Bayes factor calculations |
BioArchLinuxBot
|
2024-05-03 08:46 (UTC) |
|
r-mistyr
|
1.12.0-1 |
0 |
0.00
|
Multiview Intercellular SpaTial modeling framework |
BioArchLinuxBot
|
2024-05-03 08:42 (UTC) |
|
r-subcellbarcode
|
1.20.0-1 |
0 |
0.00
|
SubCellBarCode: Integrated workflow for robust mapping and visualizing whole human spatial proteome |
BioArchLinuxBot
|
2024-05-03 08:42 (UTC) |
|
r-spaniel
|
1.18.0-1 |
0 |
0.00
|
Spatial Transcriptomics Analysis |
BioArchLinuxBot
|
2024-05-03 08:41 (UTC) |
|
r-spatialdecon
|
1.14.0-1 |
0 |
0.00
|
Deconvolution of mixed cells from spatial and/or bulk gene expression data |
BioArchLinuxBot
|
2024-05-03 08:38 (UTC) |
|
r-spatialcpie
|
1.20.0-1 |
0 |
0.00
|
Cluster analysis of Spatial Transcriptomics data |
BioArchLinuxBot
|
2024-05-03 08:13 (UTC) |
|
r-spatialexperiment
|
1.14.0-1 |
0 |
0.00
|
S4 Class for Spatial Experiments handling |
BioArchLinuxBot
|
2024-05-03 07:42 (UTC) |
|
r-spqn
|
1.16.0-1 |
0 |
0.00
|
Spatial quantile normalization |
BioArchLinuxBot
|
2024-05-03 07:40 (UTC) |
|
r-regionalst
|
1.2.0-1 |
0 |
0.00
|
Investigating regions of interest and performing cross-regional analysis with spatial transcriptomics data |
pekkarr
|
2024-05-03 03:48 (UTC) |
|
r-bayesspace
|
1.14.0-1 |
0 |
0.00
|
Clustering and Resolution Enhancement of Spatial Transcriptomes |
BioArchLinuxBot
|
2024-05-03 01:41 (UTC) |
|
python-geoalchemy2
|
0.15.1-1 |
0 |
0.00
|
Using SQLAlchemy with Spatial Databases |
peippo
|
2024-05-02 10:10 (UTC) |
|
python-topojson
|
1.8-2 |
0 |
0.00
|
Encode spatial data as topology in Python |
peippo
|
2024-05-02 09:36 (UTC) |
|
r-stdeconvolve
|
1.8.0-1 |
0 |
0.00
|
Reference-free Cell-Type Deconvolution of Multi-Cellular Spatially Resolved Transcriptomics Data |
pekkarr
|
2024-05-02 05:21 (UTC) |
|
r-retrofit
|
1.4.0-1 |
0 |
0.00
|
Reference-free deconvolution of cell mixtures in spatial transcriptomics |
pekkarr
|
2024-05-02 04:49 (UTC) |
|
r-nnnorm
|
2.68.0-1 |
0 |
0.00
|
Spatial and intensity based normalization of cDNA microarray data based on robust neural nets |
BioArchLinuxBot
|
2024-05-01 22:53 (UTC) |
|
r-sp
|
2.1.4-1 |
2 |
0.00
|
Classes and Methods for Spatial Data |
pekkarr
|
2024-04-30 18:02 (UTC) |
|
r-spatialfeatureexperiment
|
1.4.0-3 |
0 |
0.00
|
Integrating SpatialExperiment with Simple Features in sf |
pekkarr
|
2024-04-28 15:00 (UTC) |
|
r-brisc
|
1.0.5-3 |
0 |
0.00
|
Fast Inference for Large Spatial Datasets using BRISC |
pekkarr
|
2024-04-25 09:04 (UTC) |
|
r-elsa
|
1.1.28-3 |
0 |
0.00
|
Entropy-Based Local Indicator of Spatial Association |
pekkarr
|
2024-04-25 06:06 (UTC) |
|
r-spdata
|
2.3.0-3 |
0 |
0.00
|
Datasets for Spatial Analysis |
pekkarr
|
2024-04-25 00:25 (UTC) |
|
python-osmnx
|
1.9.2-1 |
4 |
0.00
|
Retrieve, model, analyze, and visualize OpenStreetMap street networks and other spatial data |
jnboehm
|
2024-04-24 08:49 (UTC) |
|
python-rioxarray
|
0.15.5-1 |
0 |
0.00
|
geospatial xarray extension powered by rasterio |
carlosal1015
|
2024-04-23 03:50 (UTC) |
|
gdal-hdf4
|
3.8.5-1 |
4 |
0.00
|
Translator library for raster and vector geospatial data formats |
gds506
|
2024-04-20 14:45 (UTC) |