Code and resources used for assessment, pilot data analysis and data generation in the AIRR-ML-25 (Community Challenge to Benchmark Machine Learning Methods for Adaptive Immune Profiling)
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Chakravarthi Kanduri
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65Publications signalées
1068Citations signalées
2Affiliations récentes
Institutions déclarées
Domaines associés
vaccines and immunoinformatics approachesGenomics and Phylogenetic StudiesGene expression and cancer classificationT-cell and B-cell ImmunologyNeuroscience and Music Perception
Publications récentes
Code and resources used for assessment, pilot data analysis and data generation in the AIRR-ML-25 (Community Challenge to Benchmark Machine Learning Methods for Adaptive Immune Profiling)
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Code repositories of the top-10 teams identified through Kaggle competition of AIRR-ML-25 community challenge
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Code repositories of the top-10 teams identified through Kaggle competition of AIRR-ML-25 community challenge
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What Do Generative Models Learn About Adaptive Immune Receptor Repertoires? A Benchmark Study
Charlotte Würtzen, Maria Mamica, Chakravarthi Kanduri, Milena Pavlović et autres
0 citationsbioRxiv (Cold Spring Harbor Laboratory)
Unsupervised Machine Learning for Adaptive Immune Receptors with immuneML
Milena Pavlović, Charlotte Würtzen, Chakravarthi Kanduri, Maria Mamica et autres
1 citationbioRxiv (Cold Spring Harbor Laboratory)
Unsupervised Machine Learning for Adaptive Immune Receptors with immuneML: use case 2 (IEDB dataset)
Milena Pavlović, Charlotte Würtzen, Chakravarthi Kanduri, Maria Mamica et autres
0 citationsZenodo (CERN European Organization for Nuclear Research)
Unsupervised Machine Learning for Adaptive Immune Receptors with immuneML: use case 2 (IEDB dataset)
Milena Pavlović, Charlotte Würtzen, Chakravarthi Kanduri, Maria Mamica et autres
0 citationsZenodo (CERN European Organization for Nuclear Research)
Unsupervised Machine Learning for Adaptive Immune Receptors with immuneML: use case 1
Milena Pavlović, Charlotte Würtzen, Chakravarthi Kanduri, Maria Mamica et autres
0 citationsZenodo (CERN European Organization for Nuclear Research)
Unsupervised Machine Learning for Adaptive Immune Receptors with immuneML: use case 1
Milena Pavlović, Charlotte Würtzen, Chakravarthi Kanduri, Maria Mamica et autres
0 citationsZenodo (CERN European Organization for Nuclear Research)
Unsupervised Machine Learning for Adaptive Immune Receptors with immuneML: use case 2
Milena Pavlović, Charlotte Würtzen, Chakravarthi Kanduri, Maria Mamica et autres
0 citationsZenodo (CERN European Organization for Nuclear Research)
Unsupervised Machine Learning for Adaptive Immune Receptors with immuneML: use case 2
Milena Pavlović, Charlotte Würtzen, Chakravarthi Kanduri, Maria Mamica et autres
0 citationsZenodo (CERN European Organization for Nuclear Research)
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