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PeptiDIA: A Machine Learning Framework for Enhanced Peptide Identification in Fast-Gradient Data-Independent Acquisition Proteomics

2026-06-12

Abstract excerpt

Data-independent acquisition (DIA) mass spectrometry has become increasingly prevalent in proteomics as advances in instrumentation, chromatography, and computational analysis have enabled robust proteome identification across complex biological samples. However, analytical depth achieved with fast chromatographic gradients remains lower than that obtained using long-gradients, reflecting a throughput-depth trade-...

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Literature Corpus work
8dffeb68-478b-57ac-a822-03a625feb6bf
DOI
10.64898/2026.06.10.731224
Open publication

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PeptiDIA: A Machine Learning Framework for Enhanced Peptide Identification in Fast-Gradient Data-Independent Acquisition ProteomicsDOI 10.64898/2026.06.10.731224
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