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Ajitha Rajan

Showing results (1-10 of 8) with videos related to

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Communications Biology|March 6, 2024
Building trust in deep learning-based immune response predictors with interpretable explanationsPiyush Borole, Ajitha Rajan
Methods (San Diego, Calif.)|May 8, 2026
Multi-pathway feature-level interpretability in MHC-i antigen presentation via concept-based modelingPiyush Borole, Denise Boulanger, Ajitha Rajan
Computational and Structural Biotechnology Journal|September 2, 2025
A novel decoding strategy for ProteinMPNN to design with less visibility to cytotoxic T-lymphocytesHans-Christof Gasser, Ajitha Rajan, Javier A Alfaro
Scientific Reports|April 21, 2026
Multimodal survival analysis of glioblastoma using whole-slide histopathology, gene expression, clinical variables and language-model-derived mutation featuresTongjie Wang, Javier Alfaro, Paul M Brennan, et al.
Protein Engineering, Design & Selection : PEDS|March 18, 2025
Tuning ProteinMPNN to reduce protein visibility via MHC Class I through direct preference optimizationHans-Christof Gasser, Diego A Oyarzún, Javier Antonio Alfaro, et al.
Bioinformatics Advances|November 7, 2024
Knowledge graph embeddings in the biomedical domain: are they useful? A look at link prediction, rule learning, and downstream polypharmacy tasksAryo Pradipta Gema, Dominik Grabarczyk, Wolf De Wulf, et al.
Cancer Immunology Research|March 24, 2023
The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I-Associated PeptidesGeorges Bedran, Hans-Christof Gasser, Kenneth Weke, et al.
Frontiers in Digital Health|October 15, 2025
Leveraging knowledge for explainable AI in personalized cancer treatment: challenges and future directionsEmilia Daghir-Wojtkowiak, Javier Alfaro, Michele Mastromattei, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Communications Biology|March 6, 2024
Building trust in deep learning-based immune response predictors with interpretable explanationsPiyush Borole, Ajitha Rajan
Methods (San Diego, Calif.)|May 8, 2026
Multi-pathway feature-level interpretability in MHC-i antigen presentation via concept-based modelingPiyush Borole, Denise Boulanger, Ajitha Rajan
Computational and Structural Biotechnology Journal|September 2, 2025
A novel decoding strategy for ProteinMPNN to design with less visibility to cytotoxic T-lymphocytesHans-Christof Gasser, Ajitha Rajan, Javier A Alfaro
Scientific Reports|April 21, 2026
Multimodal survival analysis of glioblastoma using whole-slide histopathology, gene expression, clinical variables and language-model-derived mutation featuresTongjie Wang, Javier Alfaro, Paul M Brennan, et al.
Protein Engineering, Design & Selection : PEDS|March 18, 2025
Tuning ProteinMPNN to reduce protein visibility via MHC Class I through direct preference optimizationHans-Christof Gasser, Diego A Oyarzún, Javier Antonio Alfaro, et al.
Bioinformatics Advances|November 7, 2024
Knowledge graph embeddings in the biomedical domain: are they useful? A look at link prediction, rule learning, and downstream polypharmacy tasksAryo Pradipta Gema, Dominik Grabarczyk, Wolf De Wulf, et al.
Cancer Immunology Research|March 24, 2023
The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I-Associated PeptidesGeorges Bedran, Hans-Christof Gasser, Kenneth Weke, et al.
Frontiers in Digital Health|October 15, 2025
Leveraging knowledge for explainable AI in personalized cancer treatment: challenges and future directionsEmilia Daghir-Wojtkowiak, Javier Alfaro, Michele Mastromattei, et al.
Pageof 1