Alona Zilberberg
Ramat Gan, TA, Israel
Last Updated: 09/26/2026
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Found 24 publications
Machine Learning of Personal Repertoires From Public T Cell Receptors.
Journal: Immunological reviews
Published: May 26, 2026
A Large-Scale Dataset of Pre-Treatment TCR Repertoires in Colorectal Cancer Patients.
Journal: Scientific data
Published: April 04, 2025
Breast cancer is detectable from peripheral blood using machine learning over T cell receptor repertoires.
Journal: NPJ systems biology and applications
Published: December 20, 2024
RNA-seq based T cell repertoire extraction compared with TCR-seq.
Journal: Oxford open immunology
Published: September 20, 2024
Leveraging machine learning for integrative analysis of T-cell receptor repertoires in colorectal cancer: Insights into MAIT cell dynamics and risk assessment.
Journal: Translational oncology
Published: August 23, 2024
Self-supervised learning of T cell receptor sequences exposes core properties for T cell membership.
Self-supervised learning of T cell receptor sequences exposes core properties for T cell membership.
Journal: Science advances
Published: April 26, 2024
Ovarian cancer is detectable from peripheral blood using machine learning over T-cell receptor repertoires.
Journal: Briefings in bioinformatics
Published: September 03, 2023
The temporal behavior of the murine T cell receptor repertoire following Immunotherapy.
Journal: Scientific data
Published: August 08, 2022
A T cell repertoire timestamp is at the core of responsiveness to CTLA-4 blockade.
Journal: iScience
Published: September 10, 2020
Breast cancer is marked by specific, Public T-cell receptor CDR3 regions shared by mice and humans.
Journal: PLoS computational biology
Published: April 12, 2020
Last Updated: 09/26/2026