TCR-NP: a novel approach to prioritize T-cell Receptor repertoire network properties.

ABSTRACT: T-cell Receptors (TCRs) play a pivotal role in antigen recognition and binding, and their sequence similarity significantly impacts the breadth of antigen recognition. Network analysis is employed to explore TCR sequence similarity and investigate the architecture of the TCR repertoire. Network properties hence could be utilized to quantify the structure of the TCR network. However, the heterogeneous nature of TCR network properties poses challenges in performing statistical learning across subjects directly, particularly when assessing their relationship with disease states, clinical outcomes, or patient characteristics. To overcome this challenge, a powerful method is developed, TCR-NP (TCR Network properties Prioritization), that aggregates the raw heterogeneous network properties and c

SUBMITTER: Banerjee S 

PROVIDER: S-EPMC11884733 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature