Cristin-person-ID: 979075
Person

Rahmad Akbar

  • Stilling:
    Forsker
    ved Avdeling for immunologi og transfusjonsmedisin ved Universitetet i Oslo

Resultater Resultater

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

Pavlović, Milena; Scheffer, Lonneke; Motwani, Keshav; Kanduri, Chakravarthi; Kompova, Radmila; Vazov, Nikolay Aleksandrov; Waagan, Knut; Bernal, Fabian Leonardo Martinez; Costa, Alexandre Almeida; Corrie, Brian mfl.. 2021, Nature Machine Intelligence. UIO, UoFVitenskapelig artikkel

A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding.

Akbar, Rahmad; Robert, Philippe Paul Auguste; Pavlović, Milena; Jeliazkov, Jeliazko R.; Snapkov, Igor; Slabodkin, Andrei; Weber, Cédric R.; Scheffer, Lonneke; Miho, Enkelejda; Haff, Ingrid Hobæk mfl.. 2021, Cell reports. ETHZ, UZ, UCSD, UIO, FHNWVitenskapelig artikkel

immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking.

Weber, Cédric R.; Akbar, Rahmad; Yermanos, Alexander; Pavlovic, Milena; Snapkov, Igor; Sandve, Geir Kjetil; Reddy, Sai T.; Greiff, Victor. 2020, Bioinformatics. SVEITS, UIOVitenskapelig artikkel

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

Brown, Alex; Snapkov, Igor; Akbar, Rahmad; Pavlovic, Milena; Miho, Enkelejda; Sandve, Geir Kjetil; Greiff, Victor. 2019, Molecular Systems Design & Engineering. UoCHSC, UIO, FHNW, NATJEWISHVitenskapelig oversiktsartikkel/review
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