Maria Chernigovskaya

发表

In silico proof of principle of machine learning-based antibody design at unconstrained scale

Cédric R. Weber, Ingrid Hobæk Haff, S. Hochreiter, 2021, bioRxiv.

The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires

Chakravarthi Kanduri, Geir Kjetil Sandve, Eivind Hovig, 2021, Nature Machine Intelligence.

Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction

Ingrid Hobæk Haff, S. Hochreiter, R. Akbar, 2022, Nat. Comput. Sci..

Individualized VDJ recombination predisposes the available Ig sequence space

Cédric R. Weber, Ingrid Hobæk Haff, R. Akbar, 2021, bioRxiv.

The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires

Cédric R. Weber, Ingrid Hobæk Haff, S. Hochreiter, 2021, Nature Machine Intelligence.

Profiling the baseline performance and limits of machine learning models for adaptive immune receptor repertoire classification

Milena Pavlović, Lonneke Scheffer, G. K. Sandve, 2021, bioRxiv.

Progress and challenges in mass spectrometry-based analysis of antibody repertoires.

V. Greiff, I. Snapkov, T. Nyman, 2021, Trends in biotechnology.

One billion synthetic 3D-antibody-antigen complexes enable unconstrained machine-learning formalized investigation of antibody specificity prediction

Ingrid Hobæk Haff, S. Hochreiter, R. Akbar, 2021 .

Using TCR and BCR sequencing to unravel the role of T and B cells in abdominal aortic aneurysm

V. Greiff, S. Schmidt, Maria Chernigovskaya, 2022, bioRxiv.

A Nextflow pipeline for T-cell receptor repertoire reconstruction and analysis from RNA sequencing data

V. Greiff, A. Conesa, V. Felipo, 2022, ImmunoInformatics.

TCR repertoire diversity in Multiple Sclerosis: High-dimensional bioinformatics analysis of sequences from brain, cerebrospinal fluid and peripheral blood

V. Greiff, L. Massacesi, Maria Chernigovskaya, 2021, EBioMedicine.

Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for real-world antibody specificity prediction

Ingrid Hobæk Haff, S. Hochreiter, R. Akbar, 2021, bioRxiv.

Atypical memory B cells form a pre-plasmacellular reservoir for steady-state IgD responses to common nasopharyngeal antigens

Andrei Slabodkin, V. Greiff, S. Mehandru, 2023, bioRxiv.

Human thymic putative CD8αα precursors exhibit a biased TCR repertoire in single cell AIRR-seq

Maria Chernigovskaya, P. Bjørnstad, Marte Heimli, 2023, Scientific reports.

simAIRR: simulation of adaptive immune repertoires with realistic receptor sequence sharing for benchmarking of immune state prediction methods

Milena Pavlović, Lonneke Scheffer, G. K. Sandve, 2022, GigaScience.

Benchmarking and integrating human B-cell receptor genomic and antibody proteomic profiling

J. Galson, Jinwoo Leem, T. Nyman, 2023, bioRxiv.

Simulation of adaptive immune receptors and repertoires with complex immune information to guide the development and benchmarking of AIRR machine learning

Ingrid Hobæk Haff, Philippe A. Robert, Milena Pavlović, 2023, bioRxiv.

Application and challenges of TCR and BCR sequencing to investigate T- and B-cell clonality in elastase-induced experimental murine abdominal aortic aneurysm

Maria Chernigovskaya, H. Winkels, Khang Lê Quý, 2023, Frontiers in cardiovascular medicine.