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A multi-modal data harmonisation approach for discovery of COVID-19 drug targets

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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R: A Language and Environment for Statistical Computing

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pandas-dev/pandas: Pandas

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Multi-omics data harmonisation for the discovery of COVID-19 drug targets

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Bioinformatics

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Inhibition of MERS-CoV papain-like protease by sunitinib: In vitro and in silico investigations

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Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions

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Navigating the Multiverse: a Hitchhiker’s guide to selecting harmonization methods for multimodal biomedical data

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Multiomics analyses reveal the central role of the nucleolus and its machinery during heat stress acclimation in Pinus radiata

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Multiomics analyses reveal the central role of nucleolus and nucleoid machinery during heat stress acclimation in Pinus radiata

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genomicBERT : A Light-weight Foundation Model for Genome Analysis using Unigram Tokenization and Specialized DNA Vocabulary

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multiomics: A user-friendly multi-omics data harmonisation R pipeline

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multiomics: A user-friendly multi-omics data harmonisation R pipeline

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A novel logical model of COVID-19 intracellular infection to support therapies development

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Navigating the Multiverse: A Hitchhiker's Guide to Selecting Harmonisation Methods for Multimodal Biomedical Data

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