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gene-set enrichment analysis
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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Stable gene expression for normalisation and single-sample scoring
This work proposes an extension to our robust single-sample molecular phenotyping method, singscore, that works on targeted transcriptomic panels with as few as 5 endogenous control genes, thus taking the approach a step closer to the clinic.
Dharmesh D Bhuva
,
Joseph Cursons
,
Melissa J Davis
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Code
DOI
Bioconductor
Workshop
Using singscore to predict mutation status in acute myeloid leukemia from transcriptomic signatures
This workflow demonstrates the versatility of singscore by applying it to infer mutation status in cancer
Dharmesh D Bhuva
,
Momeneh Foroutan
,
Yi Xie
,
Ruqian Lyu
,
Joseph Cursons
,
Melissa J Davis
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Code
DOI
Bioconductor
Workshop
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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Code
Video
DOI
Bioconductor
Workshop
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