SwiftRepertoire synthesizes compact adapters from prototype dictionaries conditioned on repertoire probes for few-shot adaptation of pretrained encoders in immune signature detection.
Berttcr: a bert-based deep learning framework for predicting cancer-related immune status based on t cell receptor repertoire.Briefings in Bioinformatics, 25(5):bbae420, 2024
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SubQuad delivers near-subquadratic retrieval and equity-aware clustering for adaptive immune repertoires, achieving faster throughput and memory use while maintaining recall and subgroup balance on viral and tumor data.
citing papers explorer
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SwiftRepertoire: Few-Shot Immune-Signature Synthesis via Dynamic Kernel Codes
SwiftRepertoire synthesizes compact adapters from prototype dictionaries conditioned on repertoire probes for few-shot adaptation of pretrained encoders in immune signature detection.
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SubQuad: Near-Quadratic-Free Structure Inference with Distribution-Balanced Objectives in Adaptive Receptor framework
SubQuad delivers near-subquadratic retrieval and equity-aware clustering for adaptive immune repertoires, achieving faster throughput and memory use while maintaining recall and subgroup balance on viral and tumor data.