Miho, Enkelejda

Bioinformatic and Statistical Analysis of Adaptive Immune Repertoires

Greiff, V., Miho, E., Menzel, U., & Reddy, S. T. (2015) · Trends in Immunology

T-cell and B-cell Immunologyvaccines and immunoinformatics approaches

Cited by 210

Computational strategies for dissecting the high-dimensional complexity of adaptive immune repertoires

Miho, E., Yermanos, A., Weber, C. R., Berger, C. T., Reddy, S. T., & Greiff, V. (2018) · Frontiers in Immunology

vaccines and immunoinformatics approachesT-cell and B-cell Immunology

Cited by 189

Traditional and Digital Biomarkers: Two Worlds Apart?

Babrak, L. M., Menetski, J., Rebhan, M., Nisato, G., Zinggeler, M., Brasier, N., Baerenfaller, K., Brenzikofer, T., Baltzer, L., Vogler, C., et al. (2019) · Digital Biomarkers

Mobile Health and mHealth ApplicationsHealth, Environment, Cognitive Aging

Cited by 181

Large-scale network analysis reveals the sequence space architecture of antibody repertoires

Miho, E., Roškar, R., Greiff, V., & Reddy, S. T. (2019) · Nature Communications

Monoclonal and Polyclonal Antibodies ResearchT-cell and B-cell Immunology

Cited by 138

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

Akbar, R., Robert, P. A., Weber, C. R., Widrich, M., Frank, R., Pavlović, M., Scheffer, L., Chernigovskaya, M., Snapkov, I., Slabodkin, A., et al. (2022) · mAbs

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 94

Augmenting adaptive immunity: progress and challenges in the quantitative engineering and analysis of adaptive immune receptor repertoires

Brown, A. J., Snapkov, I., Akbar, R., Pavlović, M., Miho, E., Sandve, G. K., & Greiff, V. (2019) · Molecular Systems Design & Engineering

Artificial Immune Systems ApplicationsT-cell and B-cell Immunology

Cited by 59