Jun Wang
@JunAlexWang1
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Bioinformatics, Computational Biology, Cancer Genomics and Genetics, Evolution, Biomarker, Data Science, Barts Cancer Institute @QMBCI
London, England
Joined September 2018
Thrilled to share our study where we define transcriptomic and immune subtypes of esophageal squamous cell carcinoma. We also develop a histology AI model that identifies specific histological features for each group. @QMBCI @BartsSquamous @NatureComms
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Great to see this work out. Great teamwork of dermatologists, pathologists, biologists and bioinformaticians. Now we need to test this signature in independent diverse cohorts. @QMBCI @BartsSquamous #cutaneousSCC #metastasis
Scientists have created a tool that predicts the risk of a type of #SkinCancer spreading with over 85% accuracy, surpassing human analysis. It could guide how we use powerful new #immunotherapy (1/4) 📰 @QMUL | @QMULBartsTheLon | @sanofi | @JunAlexWang1
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RT @PradeepMadapura: Preprint alert "Non-coding mutations at enhancer clusters contribute to pancreatic ductal adenocarcinoma" https://t.co…
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We are looking for someone with bioinformatics, computational bio, genomics, analytic background who are passionate about AI and data science and application in biomedical research, as part of the UKRI/BBSRC AI for Drug Discovery Programme. @QMBCI @BartsSquamous pls RT!
A fully funded PhD Studentship is available to work with @BartsSquamous members Dr Jun Wang, Professor Irene Leigh, and Dr Catherine Harwood @QMBCI and @blizard_inst.
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Great to share IBRAP, an integrated benchmarking single cell RNA-seq pipeline, allowing researchers to determine the optimal pipeline combinations for their data, great for integrating lots of samples. Led by @ConnorK29940557, @Jessica_Okosun @druppygill
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@trevoragraham @Nature @AndreaSottoriva @ICR_London @CEC_ICR @QMBCI @humantechnopole @MagnaniLab_ICL @LuisglsZ @cssb_lab @jhouseham @gcresswell @jansen_marnix Massive congratulations again Trevor and team!
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RT @AI4Pathology: Excited to share our @Cancer_Cell article presenting a pan-cancer integrative histology-genomic analysis, multimodal inte…
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There is still time to apply for this cancer bioinformatician post at Barts @QMBCI. Come work with us to work on cutting edge cancer research and data analytics. Deadline 16th Aug. Please help RT
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RT @QMBCI: Come to our virtual open event tomorrow to find out more about the programme from Programme Director Dr Jun Wang @JunAlexWang1,…
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RT @QMBCI: 📢 Come along to our virtual open event on 20 July to find out more from the Programme Director, Dr Jun Wang @JunAlexWang1, and h…
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RT @markowetzlab: I want to support ambitious postdocs to reach the next level of their career. Join me @CRUK_CI ! 3 postdoc positions - c…
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RT @QMBCI: We are excited to launch a brand new MSc programme in #Cancer Genomics and Data Science at @QMULBartsTheLon @QMUL. Could this be…
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RT @PMoelleken: .@ZelenskyyUa's tv address to the Russian (!) people might be the most moving speech that I've ever seen in my entire life.…
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There is still time to apply for this exciting bioinformatics post to work on the multiomics data of cutaneous SCC research @QMBCI in collaboration with cutaneous research @blizard_inst . Please RT!
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We are hiring two bioinformaticians working in the field of squamous cancers, genomics / transcriptomics, single cell omics, machine learning, biomarkers @QMULBartsTheLon @QMBCI @blizard_inst please RT
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Very pleased to present our latest tool in @Patterns_CP, led by @caanenedr. It uses deep neural network to decompose transcriptomics into multivariable pathway activities and identify unknown pathway components. #MachineLearning #GEPs @FindlayCopley @QMBCI
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