Sydney Precision Data Science Centre

Sydney Precision Data Science Centre's repositories

scMerge

Statistical approach for removing unwanted variation from multiple single-cell datasets

Language:R65 11 36

BIDCell

Biologically-informed deep learning for cell segmentation of subcelluar spatial transcriptomics data

Language:PythonNOASSERTION33 8 18

SimBench

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MoleculeExperiment

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scFeatures

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spicyR

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scTIE

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CellSPA

Cell Segmentation Performance Assessment

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spicyWorkflow

Perform spatial analysis of in situ cytometry data in R

Language:HTMLGPL-3.04 11 1

lisaClust

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scdney

Single cell data integrative analysis

Language:TeXMIT3 8 1

ClassifyR

A framework for cross-validated classification problems, with applications to differential variability and differential distribution testing

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GHIST

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sc_bench_benchmark

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simpleSeg

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Statial

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Unlocking-single-cell-spatial-omics-analyses-with-SCDNEY

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Diabetic-ischaemic-cardiomyopathy

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clustSIGNAL

clustering of Spatially Informed Gene expression with Neighbourhood Adapted Learning

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Covid19_datastructure

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KTSS_OLD

090

scClassify2_frontend

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ScdneySpatial

Spatial omics workshop using scdney

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SpatialDatasets

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SpatialFeatures

An R package to extract features from singcell spatial genomics

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SpatialUtils

Utility functions for spatial omics data

Language:RMIT080

StabMap

Mosaic single cell data integration using non-overlapping features

Language:R080

StabMap_workshop24

Materials for 2024 workshop using StabMap for single cell and spatial itnegration

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TOP

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wSIR

Weighted Sliced Inverse Regression for spatial omics data analysis

Language:R090