Leon Eyrich Jessen

Leon Eyrich Jessen

Danmarks Tekniske Universitet

H-index: 16

Europe-Denmark

About Leon Eyrich Jessen

Leon Eyrich Jessen, With an exceptional h-index of 16 and a recent h-index of 14 (since 2020), a distinguished researcher at Danmarks Tekniske Universitet, specializes in the field of Bioinformatics, Immunoinformatics, T-cell Biology, Machine Learning, Data Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

The influence of early life exposures on the infant gut virome

Data-driven filtering for denoising of TCRpMHC single-cell data: a benchmark

A Benchmark of state-of-the-art Deconvolution Methods in Spatial Transcriptomics: Insights from Cardiovascular Disease and Chronic Kidney Disease

Benchmarking data-driven filtering for denoising of TCRpMHC single-cell data

Improved T cell receptor antigen pairing through data-driven filtering of sequencing information from single cells

Expanding known viral diversity in the healthy infant gut

OP0103 GENE EXPRESSION PROFILES RETRIEVED FROM SINGLE CELL RNA SEQUENCING REVEAL PHENOTYPIC TRAITS IN PATIENTS WITH PSORIATIC ARTHRITIS INITIATING TUMOUR NECROSIS FACTOR ALPHA …

NetTCR-2.1: Lessons and guidance on how to develop models for TCR specificity predictions

Leon Eyrich Jessen Information

University

Position

Assistant Professor Section for Bioinformatics

Citations(all)

1235

Citations(since 2020)

1162

Cited By

468

hIndex(all)

16

hIndex(since 2020)

14

i10Index(all)

17

i10Index(since 2020)

16

Email

University Profile Page

Danmarks Tekniske Universitet

Google Scholar

View Google Scholar Profile

Leon Eyrich Jessen Skills & Research Interests

Bioinformatics

Immunoinformatics

T-cell Biology

Machine Learning

Data Science

Top articles of Leon Eyrich Jessen

Title

Journal

Author(s)

Publication Date

The influence of early life exposures on the infant gut virome

bioRxiv

Yichang Zhang

Josué L Castro-Mejía

Ling Deng

Shiraz A Shah

Jonathan Thorsen

...

2023/3/6

Data-driven filtering for denoising of TCRpMHC single-cell data: a benchmark

bioRxiv

Helle Rus Povlsen

Alessandro Montemurro

Leon Eyrich Jessen

Morten Nielsen

2023/2/3

A Benchmark of state-of-the-art Deconvolution Methods in Spatial Transcriptomics: Insights from Cardiovascular Disease and Chronic Kidney Disease

bioRxiv

Alban Obel Slabowska

Charles Pyke

Henning Hvid

Leon Eyrich Jessen

Simon Baumgart

...

2023

Benchmarking data-driven filtering for denoising of TCRpMHC single-cell data

Scientific reports

Alessandro Montemurro

Helle Rus Povlsen

Leon Eyrich Jessen

Morten Nielsen

2023/9/26

Improved T cell receptor antigen pairing through data-driven filtering of sequencing information from single cells

Elife

Helle Rus Povlsen

Amalie Kai Bentzen

Mohammad Kadivar

Leon Eyrich Jessen

Sine Reker Hadrup

...

2023/5/3

Expanding known viral diversity in the healthy infant gut

Nature microbiology

Shiraz A Shah

Ling Deng

Jonathan Thorsen

Anders G Pedersen

Moïra B Dion

...

2023/5

OP0103 GENE EXPRESSION PROFILES RETRIEVED FROM SINGLE CELL RNA SEQUENCING REVEAL PHENOTYPIC TRAITS IN PATIENTS WITH PSORIATIC ARTHRITIS INITIATING TUMOUR NECROSIS FACTOR ALPHA …

M Skougaard

C Drachmann

ZR Stisen

SB Ditlev

LE Jessen

...

2022/6/1

NetTCR-2.1: Lessons and guidance on how to develop models for TCR specificity predictions

Frontiers in immunology

Alessandro Montemurro

Leon Eyrich Jessen

Morten Nielsen

2022/12/6

ATRAP-Accurate T cell Receptor Antigen Pairing through data-driven filtering of sequencing information from single-cells

bioRxiv

Helle Rus Povlsen

Amalie Kai Bentzen

Mohammad Kadivar

Leon Eyrich Jessen

Sine Reker Hadrup

...

2022/9/2

Reduced expression of OXPHOS and DNA damage genes is linked to protection from microvascular complications in long-term type 1 diabetes: the PROLONG study

Scientific Reports

Türküler Özgümüş

Oksana Sulaieva

Leon Eyrich Jessen

Ruchi Jain

Henrik Falhammar

...

2021/10/20

NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data

Communications biology

Alessandro Montemurro

Viktoria Schuster

Helle Rus Povlsen

Amalie Kai Bentzen

Vanessa Jurtz

...

2021/9/10

TCRMatch: predicting T-cell receptor specificity based on sequence similarity to previously characterized receptors

Frontiers in immunology

William D Chronister

Austin Crinklaw

Swapnil Mahajan

Randi Vita

Zeynep Koşaloğlu-Yalçın

...

2021/3/11

Immunopeptidomic data integration to artificial neural networks enhances protein-drug immunogenicity prediction

Frontiers in Immunology

Carolina Barra

Chloe Ackaert

Birkir Reynisson

Jana Schockaert

Leon Eyrich Jessen

...

2020/6/23

Conference report: Why r? 2019

The R Journal

Michal Burdukiewicz

Filip Pietluch

Jaroslaw Chilimoniuk

Katarzyna Sidorczuk

Dominik Rafacz

...

2020

Liver nucleotide biosynthesis is linked to protection from vascular complications in individuals with long-term type 1 diabetes

Scientific Reports

Ruchi Jain

Türküler Özgümüş

Troels Mygind Jensen

Elsa du Plessis

Magdalena Keindl

...

2020/7/14

See List of Professors in Leon Eyrich Jessen University(Danmarks Tekniske Universitet)