Author

A. Diallo

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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Pathology· 2 Biophysics· 1 Microbiology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cancer & tumor microenvironment· 2 Approach:deep learning· 2 Approach:experimental assay· 2 Assay:imaging· 2 Assay:spatial transcriptomics· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

B. Christensen· 2 shared F. Kolling· 2 shared G. Srinivasan· 2 shared J. Levy· 2 shared L. Salas· 2 shared L. Vaickus· 2 shared M. Fatemi· 2 shared S. Palisoul· 2 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersPathology

B. Christensen

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Recognition of Chlamydia trachomatis by Toll-Like Receptor 9 is altered during persistence.

G. W. Liechti, A. Diallo, G. Overman, P. Sah

This study evaluates how Chlamydia trachomatis genomic DNA is recognized by TLR9 during infection and persistence, showing altered signaling during persistence.

bioRxiv · Feb 6, 2024 · PreprintMicrobiology

Potential to Enhance Large Scale Molecular Assessments of Skin Photoaging through Virtual Inference of Spatial Transcriptomics from Routine Staining

G. Srinivasan, M. Davis, M. LeBoeuf, M. Fatemi, Z. Azher, Y. Lu, A. Diallo, M. Montivero, F. Kolling, L. Perrard, L. Salas, B. Christensen, S. Palisoul, G. Tsongalis, L. Vaickus, , J. Levy

This paper develops machine learning models to infer spatial transcriptomics data from H&E-stained skin slides, improving the assessment of photoaging and its therapeutic implications.

bioRxiv · Jul 30, 2023 · PreprintPathology

Spatial Omics Driven Crossmodal Pretraining Applied to Graph-based Deep Learning for Cancer Pathology Analysis

Z. Azher, M. Fatemi, Y. Lu, G. Srinivasan, A. Diallo, B. Christensen, L. Salas, F. Kolling, L. Perreard, S. Palisoul, L. Vaickus, J. Levy

This paper applies spatial transcriptomics data with contrastive crossmodal pretraining to improve graph-based deep learning models for cancer histopathology analysis.

bioRxiv · Jul 30, 2023 · PreprintPathology

Genome editing of an African elite rice variety confers resistance against endemic and emerging Xanthomonas oryzae pv. oryzae strains

V. Schepler-Luu, C. Sciallano, M. Stiebner, C. Ji, G. Boulard, A. Diallo, F. Auguy, S. N. Char, Y. Arra, K. Schenstnyi, M. Buchholzer, E. P. I. Loo, A. L. Bilaro, D. Lihepanyama, M. Mkuya, , W. B. Frommer

The paper edits SWEET promoters in an African rice variety to confer resistance against Asian and African Xanthomonas oryzae pv. oryzae strains.

bioRxiv · Nov 20, 2022Plant Biology

CryoEM and AI reveal a structure of SARS-CoV-2 Nsp2, a multifunctional protein involved in key host processes.

M. Gupta, C. M. Azumaya, M. Moritz, S. Pourmal, A. Diallo, G. E. Merz, G. M. Jang, M. Bouhaddou, A. Fossati, A. F. Brilot, D. Diwanji, E. Hernandez, N. Herrera, H. T. Kratochvil, V. L. Lam, , K. I Pawar

The paper uses cryo-EM and AlphaFold2 to determine the structure of SARS-CoV-2 Nsp2, revealing its zinc-binding site and potential interactions with host proteins.

bioRxiv · May 10, 2021 · PreprintBiophysics