Sydney Precision Data Science Centre

SydneyBioX

SPDSC alliance brings together multiple research groups and junior and senior researchers with shared interests in bioinformatics and computational sciences.

Sydney, Australia

https://www.sydney.edu.au/science/our-research/research-centres/sydney-precision-data-science-centre.html

Sydney Precision Data Science Centre's repositories

scMerge

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

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BIDCell

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

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scClassify

Hierarchical classification of cells

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MoleculeExperiment

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spicyR

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SurvBenchmark

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scPB

Single cell perturbation benchmarking

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spicyWorkflow

Perform spatial analysis of in situ cytometry data in R

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lisaClust

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scdney

Single cell data integrative analysis

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Statial

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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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simpleSeg

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

International Summer Session at Fudan

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Cornell_SCDNEY_2024

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Diabetic-ischaemic-cardiomyopathy

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ClassifyR3analytics

Analyses for best practices guide to ClassifyR multi-view modelling

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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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IMPACT

IMPACT: Interpretable Microbial Phenotype Analysis via microbial Characteristic Traits

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MelanomaDT_2024

Single-cell sequencing of melanoma reveals cell state-dependent heterogeneity and impact of pro-inflammatory signaling in response to MAPK inhibitors.

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packageHeader

Headers for package vignettes

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SpatialFeatures

An R package to extract features from singcell spatial genomics

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SpatialSimBench

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SpatialSimbenchQuartoOJS

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SpatialSimbenchQuartoR

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StabMap

Mosaic single cell data integration using non-overlapping features

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SydneyBioXStickers

A repo for storing all the pretty SydneyBioX stickers.

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wSIR

Weighted Sliced Inverse Regression for spatial omics data analysis

Language:R090