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Rahmad Akbar
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2020 – today
- 2024
- [j7]Lonneke Scheffer, Eric Emanuel Reber, Brij Bhushan Mehta, Milena Pavlovic, Maria Chernigovskaya, Eve Richardson, Rahmad Akbar, Fridtjof Lund-Johansen, Victor Greiff, Ingrid Hobæk Haff, Geir Kjetil Sandve:
Predictability of antigen binding based on short motifs in the antibody CDRH3. Briefings Bioinform. 25(6) (2024) - [j6]Mai Ha Vu, Philippe A. Robert, Rahmad Akbar, Bartlomiej Swiatczak, Geir Kjetil Sandve, Dag Trygve Truslew Haug, Victor Greiff:
Linguistics-based formalization of the antibody language as a basis for antibody language models. Nat. Comput. Sci. 4(6): 412-422 (2024) - 2023
- [j5]Ahmad Al-Khdhairawi, Danish Sanuri, Rahmad Akbar, Su Datt Lam, Shobana Sugumar, Nazlina Ibrahim, Sylvia Chieng, Fareed Sairi:
Machine learning and molecular simulation ascertain antimicrobial peptide against Klebsiella pneumoniae from public database. Comput. Biol. Chem. 102: 107800 (2023) - [j4]Mai Ha Vu, Rahmad Akbar, Philippe A. Robert, Bartlomiej Swiatczak, Geir Kjetil Sandve, Victor Greiff, Dag Trygve Truslew Haug:
Linguistically inspired roadmap for building biologically reliable protein language models. Nat. Mac. Intell. 5(5): 485-496 (2023) - [i4]Chung Yuen Khew, Rahmad Akbar, Norfarhan Mohd. Assaad:
Progress and challenges for the application of machine learning for neglected tropical diseases. F1000Research 12: 287 (2023) - 2022
- [j3]Philippe A. Robert, Rahmad Akbar, Robert Frank, Milena Pavlovic, Michael Widrich, Igor Snapkov, Andrei Slabodkin, Maria Chernigovskaya, Lonneke Scheffer, Eva Smorodina, Puneet Rawat, Brij Bhushan Mehta, Mai Ha Vu, Ingvild Frøberg Mathisen, Aurél Prósz, Krzysztof Abram, Alex Olar, Enkelejda Miho, Dag Trygve Truslew Haug, Fridtjof Lund-Johansen, Sepp Hochreiter, Ingrid Hobæk Haff, Günter Klambauer, Geir Kjetil Sandve, Victor Greiff:
Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction. Nat. Comput. Sci. 2(12): 845-865 (2022) - [i3]Mai Ha Vu, Rahmad Akbar, Philippe A. Robert, Bartlomiej Swiatczak, Victor Greiff, Geir Kjetil Sandve, Dag Trygve Truslew Haug:
Advancing protein language models with linguistics: a roadmap for improved interpretability. CoRR abs/2207.00982 (2022) - [i2]Mai Ha Vu, Philippe A. Robert, Rahmad Akbar, Bartlomiej Swiatczak, Geir Kjetil Sandve, Dag Trygve Truslew Haug, Victor Greiff:
ImmunoLingo: Linguistics-based formalization of the antibody language. CoRR abs/2209.12635 (2022) - [i1]Chung Yuen Khew, Rahmad Akbar, Norfarhan Mohd. Assaad:
Progress and Challenges for the Application of Machine Learning for Neglected Tropical Diseases. CoRR abs/2212.01027 (2022) - 2021
- [j2]Milena Pavlovic, Lonneke Scheffer, Keshav Motwani, Chakravarthi Kanduri, Radmila Kompova, Nikolay Vazov, Knut Waagan, Fabian L. M. Bernal, Alexandre Almeida Costa, Brian Corrie, Rahmad Akbar, Ghadi S. Al Hajj, Gabriel Balaban, Todd M. Brusko, Maria Chernigovskaya, Scott Christley, Lindsay G. Cowell, Robert Frank, Ivar Grytten, Sveinung Gundersen, Ingrid Hobæk Haff, Eivind Hovig, Ping-Han Hsieh, Günter Klambauer, Marieke L. Kuijjer, Christin Lund-Andersen, Antonio Martini, Thomas Minotto, Johan Pensar, Knut D. Rand, Enrico Riccardi, Philippe A. Robert, Artur Rocha, Andrei Slabodkin, Igor Snapkov, Ludvig Magne Sollid, Dmytro Titov, Cédric R. Weber, Michael Widrich, Gur Yaari, Victor Greiff, Geir Kjetil Sandve:
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires. Nat. Mach. Intell. 3(11): 936-944 (2021) - 2020
- [j1]Cédric R. Weber, Rahmad Akbar, Alexander Yermanos, Milena Pavlovic, Igor Snapkov, Geir Kjetil Sandve, Sai T. Reddy, Victor Greiff:
immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking. Bioinform. 36(11): 3594-3596 (2020)
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last updated on 2024-12-02 22:28 CET by the dblp team
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