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[HPP-2.0] Proteomics data of cancers

ABSTRACT: proteomics data of multiple types of cancer including gatric, prostate, liver, thyoid, leukemia, bone, ovarian, cervical and lung tumors

ORGANISM(S): Homo Sapiens

SUBMITTER: Tiannan Guo

PROVIDER: PXD049145 | iProX | Fri Feb 02 00:00:00 GMT 2024

REPOSITORIES: iProX

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DIA-BERT: pre-trained end-to-end transformer models for enhanced DIA proteomics data analysis.

Liu Zhiwei Z Liu Pu P Sun Yingying Y Nie Zongxiang Z Zhang Xiaofan X Zhang Yuqi Y Chen Yi Y Guo Tiannan T

Nature communications 20250414 1

Data-independent acquisition mass spectrometry (DIA-MS) has become increasingly pivotal in quantitative proteomics. In this study, we present DIA-BERT, a software tool that harnesses a transformer-based pre-trained artificial intelligence (AI) model for analyzing DIA proteomics data. The identification model was trained using over 276 million high-quality peptide precursors extracted from existing DIA-MS files, while the quantification model was trained on 34 million peptide precursors from synt ...[more]

PMID: 40229248

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