Author

Yulia Panina

The Francis Crick InstituteORCID 0000-0002-7526-2000Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1 Assay:metagenomics· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Adam J. TayloriD· 1 shared Alex DexteriD· 1 shared Andrew D. CampbelliD· 1 shared Arafath Kaja NajumudeeniD· 1 shared Bin Lun YaniD· 1 shared Chelsea J. NikulaiD· 1 shared Efstathios Andreas EliaiD· 1 shared Gregory R. HammiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Adam J. TaylorORCID

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1 paper

Recent·Most cited

Training a neural network to learn other dimensionality reduction removes data size restrictions in bioinformatics and provides a new route to exploring data representations

Alex Dexter, Spencer A. Thomas, Rory T. Steven, Kenneth N. Robinson, Adam J. Taylor, Efstathios Andreas Elia, Chelsea J. Nikula, Andrew D. Campbell, Yulia Panina, Arafath Kaja Najumudeen, Teresa Murta, Bin Lun Yan, Piotr Grabowski, Gregory R. Hamm, John G. Swales, , Josephine Bunch

The paper uses deep learning with t-SNE to analyze large datasets and overcome size limitations in bioinformatics.

bioRxiv · Sep 3, 2020 · PreprintBioinformatics