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Technical explainers, publications, guides, and perspectives on proteomics data analysis and biological discovery.
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Publications

Single-cell foundation models benefit from cross-modal training: adding proteomics data beats parameter scaling

Fine-tuning a single-cell foundation model on proteomics data matches or beats scaling to models over 40x larger — showing multimodal training can outperform parameter scaling alone.

Pan-Cancer Atlas resource card graphic

Building a Pan-Cancer Atlas of Therapeutic T Cell Targets

How NYU researchers used large-scale immunopeptidomics and AI-enabled peptide identification to identify 28,446 tumor-specific antigens and accelerate therapeutic target discovery.

Guangyuan (Frank) Li, PhD, NYU Langone Health
FDR, MBR, and Immunopeptidomics guide resource card graphic

FDR, Match-Between-Runs, and Immunopeptidomics: A Plain-Language Guide

Three concepts that determine whether you can trust your proteomics results — and what to look for when evaluating any search engine.