SydneyBioX/eNODAL

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R
Created about 2 years ago
Updated over 1 year ago

SydneyBioX/eNODAL

SydneyBioX

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eNODAL package

scMerge

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

scJoint

Jupyter Notebook

BIDCell

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

CiteFuse

scClassify

Hierarchical classification of cells

MoleculeExperiment

SimBench

scFeatures

scReClassify

Post hoc cell type classification of single-cell RNA-sequencing data.

spicyR

scDC

SurvBenchmark

scTIE

Jupyter Notebook

spicyWorkflow

Perform spatial analysis of in situ cytometry data in R

hRUV

CellSPA

Cell Segmentation Performance Assessment

lisaClust

GHIST

scdney

RNASeq

Pipelines for processing RNASeq and scRNAseq data

scREMOTE

scREMOTE: a single cell REprogramming Model Through CREs

StatialBioc2023

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

CiteFuse2020Kim

tidy2019

Tidyverse workshop at BioinfoSummer 2019

scdneySpatialOmics_BIS22

BIS2019_SC

Single-Cell RNA-Seq workshop, Bioinformatics Summer 2019

BIS2019_IntroUnix

Bioinfosummer 2019 Unix workshop

BIS2019_PhosR

COVID_CCI_analysis

SimBenchData

localWorkshop

Workshop Slides and Website for Cross-validated Classification Workshop Held on 29 June 2018 in Sydney

WholeGenomeDNA

A set of scripts to process whole genome sequencing DNA data on a PBS Cluster

simpleSeg

scClassify_analysis

SC_CPC_workshop

CPC Single Cell Workshop, 04 Nov 2019

sc_bench_benchmark

Statial

scdneySpatialOmics_CPC23