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EMT
emtdata
This package provides pre-processed RNA-seq data where the epithelial to mesenchymal transition was induced on cell lines. These data come from three publications Cursons et al. (2015), Cursons et al. (2018) and Foroutan et al. (2017). In each of these publications, EMT was induces across multiple cell lines following treatment by TGFb among other stimulants. This data will be useful in determining the regulatory programs modified in order to achieve an EMT. Data were processed by the Davis laboratory in the Bioinformatics division at WEHI.
Malvika D Kharbanda
,
Chin Wee Tan
,
Dharmesh D Bhuva
Oct 15, 2022
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Network analysis of differentially-expressed genes using vissE and Cytoscape
This workshop presents our vissE tool and shows how protein-protein interaction networks derived from it can be further interpreted using the Cytoscape network analysis tool.
Sep 29, 2022
Melbourne Bioinformatics
Dharmesh D Bhuva
,
Ahmed Mohamed
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vissE: A versatile tool to identify and visualise higher-order molecular phenotypes from functional enrichment analysis
vissE is a tool that can help identify, visualise and explore higher-order biological processes from the results of a gene-set enrichment analysis (GSEA)
Dharmesh D Bhuva
,
Chin Wee Tan
,
Ning Liu
,
Holly J Whitfield
,
Nicholas Papachristos
,
Sam Lee
,
Malvika Kharbanda
,
Ahmed Mohamed
,
Melissa J Davis
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Bioconductor
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Network-based functional analysis in transcriptomics
A workshop on using vissE to analyse transcriptomic data
Nov 30, 2021 12:00 AM
Online
Dharmesh D Bhuva
,
Chin Wee Tan
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vissE – Visualising higher-order biological processes in cancer ‘omics datasets
A talk on using vissE to analyse transcriptomic data
Oct 8, 2021 12:00 AM
Online
Dharmesh D Bhuva
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An introduction to biological network analysis
This masterclass includes an introductory lecture on gene-set enrichment analysis followed by a demonstration of the vissE and singscore tools we developed.
Aug 27, 2021 12:00 AM
Online (South-east Asia region)
Dharmesh D Bhuva
,
Chin Wee Tan
,
Jinjin Chen
,
Yimin Zhang
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vissE – Visualising gene–set enrichment analysis results using a network-based approach
A talk on the inner workings of vissE
Jul 27, 2021 12:00 AM
Online
Dharmesh D Bhuva
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Single-Sample Gene-Set Testing of TCGA RNA-Seq Data Workshop
This workshop demonstrates a workflow for single-sample gene-set enrichment analysis.
Dec 13, 2020 12:00 AM
Online (Nanjing University, China)
Dharmesh D Bhuva
,
Chin Wee Tan
,
Jinjin Chen
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Single sample scoring of molecular phenotypes
singscore is a robust rank-based method to compute molecular phenotypes scores for individual samples such as those originating from an individual patient in the clinic
Momeneh Foroutan
,
Dharmesh D Bhuva
,
Ruqian Lyu
,
Kristy Horan
,
Joseph Cursons
,
Melissa J Davis
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