Publications per year
Publications per year
Personal profile
Profile
My bioinformatics research is centred around development and application of machine learning methodology for studying the interplay between the cellular level human immune system and disease phenotypes. The application of my research aims to facilitate bio marker discovery and aid in developing patient specific treatment.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Publications
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Expanding known viral diversity in the healthy infant gut
Shah, S. A., Deng, L., Thorsen, J., Pedersen, A. G., Dion, M. B., Castro-Mejía, J. L., Silins, R., Romme, F. O., Sausset, R., Jessen, L. E., Ndela, E. O., Hjelmsø, M., Rasmussen, M. A., Redgwell, T. A., Leal Rodríguez, C., Vestergaard, G., Zhang, Y., Chawes, B., Bønnelykke, K., Sørensen, S. J., & 6 others, 2023, In: Nature Microbiology. 8, p. 986–998Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Downloads (Pure) -
NetTCR-2.1: Lessons and guidance on how to develop models for TCR specificity predictions
Montemurro, A., Jessen, L. E. & Nielsen, M., 2023, (Accepted/In press) In: Frontiers in Immunology. 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access -
Gene expression profiles retrieved from single cell rna sequencing reveal phenotypic traits in patients with psoriatic arthritis initiating tumour necrosis factor alpha inhibitor and interleukin-17 inhibitor
Skougaard, M., Drachmann, C., Stisen, Z. R., Ditlev, S. B., Jessen, L. E. & Kristensen, L. E., 2022, In: Annals of the Rheumatic Diseases. 81, Suppl 1, 1 p., OP0103.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data
Montemurro, A., Schuster, V., Povlsen, H. R., Bentzen, A. K., Jurtz, V., Chronister, W. D., Crinklaw, A., Hadrup, S. R., Winther, O., Peters, B., Jessen, L. E. & Nielsen, M., 2021, In: Communications Biology. 4, 1, 13 p., 1060.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile89 Downloads (Pure) -
Reduced expression of OXPHOS and DNA damage genes is linked to protection from microvascular complications in long-term type 1 diabetes: the PROLONG study
Özgümüş, T., Sulaieva, O., Jessen, L. E., Jain, R., Falhammar, H., Nyström, T., Catrina, S. B., Jörneskog, G., Groop, L., Eliasson, M., Eliasson, B., Brismar, K., Stokowy, T., Nilsson, P. M. & Lyssenko, V., 2021, In: Scientific Reports. 11, 1, 11 p., 20735.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile41 Downloads (Pure)
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Integrative Single-Cell Analysis for Exploring Autoimmune Disease Mechanisms
Drachmann, C., Jessen, L. E. & Kristensen, L. E.
01/03/2022 → 28/02/2025
Project: PhD
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Improved Immunoinformatic Methods for Rationale T Cell Epitope Discovery
Montemurro, A., Nielsen, M. & Jessen, L. E.
01/10/2019 → 16/01/2023
Project: PhD
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Development of Immunoinformatics prediction methods for improved rational identification of T cell epitopes
Povlsen, H. R., Nielsen, M. & Jessen, L. E.
01/04/2019 → 14/12/2022
Project: PhD
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Deep Learning methods for Immunotherapy
Schaap-Johansen, A., Greiff, V., Blicher, T. H., Jessen, L. E., Fang, X. & Rasmussen, S.
01/12/2018 → 16/01/2023
Project: PhD
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Towards accurate prediction of T cell targets; Learning the rules of T cell receptor interactions
Nielsen, M., Jessen, L. E. & Hadrup, S. R.
01/08/2017 → 31/07/2020
Project: Research