Morten Nielsen

Morten Nielsen

Danmarks Tekniske Universitet

H-index: 85

Europe-Denmark

About Morten Nielsen

Morten Nielsen, With an exceptional h-index of 85 and a recent h-index of 67 (since 2020), a distinguished researcher at Danmarks Tekniske Universitet, specializes in the field of Bioinformatics, Immunoinformatics, Machine Learning.

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

A large-scale study of peptide features defining immunogenicity of cancer neo-epitopes

The journey towards complete and accurate prediction of HLA antigen presentation

New light on the HLA-DR immunopeptidomic landscape

DiscoTope-3.0: improved B-cell epitope prediction using inverse folding latent representations

An analysis pipeline for understanding 6-thioguanine effects on a mouse tumour genome

IMPROVE: a feature model to predict neoepitope immunogenicity through broad-scale validation of T-cell recognition

MARS an improved de novo peptide candidate selection method for non-canonical antigen target discovery in cancer

Enhancing TCR specificity predictions by combined pan-and peptide-specific training, loss-scaling, and sequence similarity integration

Morten Nielsen Information

University

Position

Department of Health Technology The of

Citations(all)

37151

Citations(since 2020)

21900

Cited By

22645

hIndex(all)

85

hIndex(since 2020)

67

i10Index(all)

238

i10Index(since 2020)

172

Email

University Profile Page

Danmarks Tekniske Universitet

Google Scholar

View Google Scholar Profile

Morten Nielsen Skills & Research Interests

Bioinformatics

Immunoinformatics

Machine Learning

Top articles of Morten Nielsen

Title

Journal

Author(s)

Publication Date

A large-scale study of peptide features defining immunogenicity of cancer neo-epitopes

NAR cancer

Yat-tsai Richie Wan

Zeynep Koşaloğlu‐Yalçın

Bjoern Peters

Morten Nielsen

2024/3/1

The journey towards complete and accurate prediction of HLA antigen presentation

ImmunoInformatics

Jonas Birkelund Nilsson

Morten Nielsen

2024/3/1

New light on the HLA-DR immunopeptidomic landscape

Journal of Leukocyte Biology

Emilie Egholm Bruun Jensen

Birkir Reynisson

Carolina Barra

Morten Nielsen

2024/1/12

DiscoTope-3.0: improved B-cell epitope prediction using inverse folding latent representations

bioRxiv

Magnus Haraldson Høie

Frederik Steensgaard Gade

Julie Maria Johansen

Charlotte Würtzen

Ole Winther

...

2023/2/5

An analysis pipeline for understanding 6-thioguanine effects on a mouse tumour genome

Cancer Immunology, Immunotherapy

Patricio Yankilevich

Loulieta Nazerai

Shona Caroline Willis

Kjeld Schmiegelow

Daniela De Zio

...

2024/1/27

IMPROVE: a feature model to predict neoepitope immunogenicity through broad-scale validation of T-cell recognition

Frontiers in Immunology

Annie Borch

Ibel Carri

Birkir Reynisson

Heli M Garcia Alvarez

Kamilla K Munk

...

2024/4/3

MARS an improved de novo peptide candidate selection method for non-canonical antigen target discovery in cancer

Nature Communications

Hanqing Liao

Carolina Barra

Zhicheng Zhou

Xu Peng

Isaac Woodhouse

...

2024/1/22

Enhancing TCR specificity predictions by combined pan-and peptide-specific training, loss-scaling, and sequence similarity integration

Elife

Mathias Fynbo Jensen

Morten Nielsen

2024/3/4

Beyond MHC binding: immunogenicity prediction tools to refine neoantigen selection in cancer patients

Ibel Carri

Erika Schwab

Enrique Podaza

Heli M Garcia Alvarez

José Mordoh

...

2023

Machine learning reveals limited contribution of trans-only encoded variants to the HLA-DQ immunopeptidome

Communications biology

Jonas Birkelund Nilsson

Saghar Kaabinejadian

Hooman Yari

Bjoern Peters

Carolina Barra

...

2023/4/21

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

Thiopurine 6TG treatment increases tumor immunogenicity and response to immune checkpoint blockade

OncoImmunology

Loulieta Nazerai

Shona Caroline Willis

Patricio Yankilevich

Luca Di Leo

Francesca Maria Bosisio

...

2023/12/31

NetAllergen, a random forest model integrating MHC-II presentation propensity for improved allergenicity prediction

Bioinformatics Advances

Yuchen Li

Peter Wad Sackett

Morten Nielsen

Carolina Barra

2023/1/1

Extraordinary peptide-binding mode of a songbird MHC class-I molecule suggests mechanism to counter pathogen immune evasion

bioRxiv

Sandra Eltschkner

Samantha Mellinger

Sören Buus

Morten Nielsen

Kajsa M Paulsson

...

2023/3/13

A meta-analysis of epitopes in prostate-specific antigens identifies opportunities and knowledge gaps

Gabriele Foos

Nina Blazeska

Morten Nielsen

Hannah Carter

Zeynep Kosaloglu-Yalcin

...

2023/9/9

PEPMatch: a tool to identify short peptide sequence matches in large sets of proteins

BMC bioinformatics

Daniel Marrama

William D Chronister

Luise Westernberg

Randi Vita

Zeynep Koşaloğlu-Yalçın

...

2023/12/18

Benchmarking solutions to the T-cell receptor epitope prediction problem: IMMREP22 workshop report

ImmunoInformatics

Pieter Meysman

Justin Barton

Barbara Bravi

Liel Cohen-Lavi

Vadim Karnaukhov

...

2023/3/1

The structure of songbird MHC class I reveals antigen binding that is flexible at the N-terminus and static at the C-terminus

Frontiers in Immunology

Sandra Eltschkner

Samantha Mellinger

Soren Buus

Morten Nielsen

Kajsa M Paulsson

...

2023/7/7

Accurate prediction of HLA class II antigen presentation across all loci using tailored data acquisition and refined machine learning

Science Advances

Jonas B Nilsson

Saghar Kaabinejadian

Hooman Yari

Michel GD Kester

Peter van Balen

...

2023/11/24

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

See List of Professors in Morten Nielsen University(Danmarks Tekniske Universitet)

Co-Authors

H-index: 121
Søren Brunak

Søren Brunak

Københavns Universitet

H-index: 93
Ole Lund

Ole Lund

Danmarks Tekniske Universitet

H-index: 37
paolo marcatili

paolo marcatili

Danmarks Tekniske Universitet

H-index: 25
Thomas Nordahl Petersen

Thomas Nordahl Petersen

Danmarks Tekniske Universitet

H-index: 10
Martin Closter Jespersen

Martin Closter Jespersen

Danmarks Tekniske Universitet

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