Author

P. Lio

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 2 Cancer Biology· 1 Cell Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 4 Research Focus:clustering· 3 Research Focus:cell type annotation· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:diffusion model· 1 Approach:experimental assay· 1 Assay:fluorescence / live-cell microscopy· 1

Frequent Co-Authors

A. A. Lapkin· 1 shared A. Cvejic· 1 shared B. Wu· 1 shared B. Zhong· 1 shared B. Zhou· 1 shared C. F. Kaminski· 1 shared C. N. Christensen· 1 shared D. I. Jodrell· 1 shared

Activity by Year

2017-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 9 mutual co-author links

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1 shared paperBioengineering

A. A. Lapkin

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Author profile →

5 papers

Recent·Most cited

A conditional protein diffusion model generates artificial programmable endonuclease sequences with enhanced activity

B. Zhou, L. Zheng, B. Wu, K. Yi, B. Zhong, Y. Tan, Q. Liu, P. Lio, L. Hong

This paper introduces CPDiffusion, a conditional protein diffusion model that generates artificial endonuclease sequences with enhanced activity without labeled data.

bioRxiv · Aug 10, 2023Bioengineering

Fate-mapping lymphocyte clones and their progenies from induced antigen-signals identifies temporospatial behaviours of T cells mediating tolerance

M. Takahashi, T. So, K. Williamson, Z. Hosseini, K. Kania, M. Ruhle, T. Mann, M. J. Schujis, P. Coupland, D. Naisbitt, T. Y. F. Halim, P. A. Lyons, P. Lio, K. Okkenhaug, D. J. Adams, , J. E. D. Thaventhiran

This study introduces a novel fate-mapping mouse to track lymphocyte clones and their progenies in response to antigen signals, revealing distinct T cell behaviors in tumor immunity.

bioRxiv · Mar 16, 2023Immunology

ERnet: a tool for the semantic segmentation and quantitative analysis of endoplasmic reticulum topology for video-rate super-resolution imaging

M. Lu, C. N. Christensen, J. M. Weber, T. Konno, N. F. Laubli, K. M. Scherer, E. Avezov, P. Lio, A. A. Lapkin, G. S. Kaminski Schierle, C. F. Kaminski

ERnet quantifies ER topology dynamics using video-rate super-resolution imaging and semantic segmentation, enabling analysis of ER morphology changes in response to genetic or metabolic perturbations.

bioRxiv · May 17, 2022 · PreprintBioengineering

Unsupervised Machine Learning for Data Encoding appliedto Ovarian Cancer Transcriptomes

T. M. George, P. Lio

This paper trains a variational autoencoder on ovarian cancer transcriptomes to predict cisplatin resistance and identifies biological processes associated with platinum resistance.

bioRxiv · Nov 26, 2019 · PreprintCancer Biology

Single-cell RNA-Sequencing uncovers transcriptional states and fate decisions in haematopoiesis

E. I. Athanasiadis, J. Botthof, H. Andres, L. Ferreira, P. Lio, A. Cvejic

This study uses single-cell RNA sequencing to reconstruct the blood lineage tree in zebrafish and identify transcriptional states and fate decisions during haematopoiesis.

bioRxiv · Aug 3, 2017Cell Biology