[HTML][HTML] Deep learning neural network tools for proteomics
JG Meyer - Cell Reports Methods, 2021 - cell.com
Mass-spectrometry-based proteomics enables quantitative analysis of thousands of human
proteins. However, experimental and computational challenges restrict progress in the field …
proteins. However, experimental and computational challenges restrict progress in the field …
[HTML][HTML] Acquisition and analysis of DIA-based proteomic data: A comprehensive survey in 2023
R Lou, W Shui - Molecular & Cellular Proteomics, 2024 - ASBMB
Data-independent acquisition (DIA) mass spectrometry (MS) has emerged as a powerful
technology for high-throughput, accurate, and reproducible quantitative proteomics. This …
technology for high-throughput, accurate, and reproducible quantitative proteomics. This …
[HTML][HTML] Artificial intelligence defines protein-based classification of thyroid nodules
Determination of malignancy in thyroid nodules remains a major diagnostic challenge. Here
we report the feasibility and clinical utility of developing an AI-defined protein-based …
we report the feasibility and clinical utility of developing an AI-defined protein-based …
Encoding LC–MS-based untargeted metabolomics data into images toward AI-based clinical diagnosis
Liquid chromatography–mass spectrometry (LC–MS)-based untargeted metabolomics
provides comprehensive and quantitative profiling of metabolites in clinical investigations …
provides comprehensive and quantitative profiling of metabolites in clinical investigations …
[HTML][HTML] Mass Spectrometry in China
Mass spectrometry (MS) emerged more than a century ago and has become a powerful
technology for chemical and biological analysis. Nowadays mass spectrometry is still …
technology for chemical and biological analysis. Nowadays mass spectrometry is still …
[HTML][HTML] Proteome landscapes of human hepatocellular carcinoma and intrahepatic cholangiocarcinoma
X Yi, J Zhu, W Liu, L Peng, C Lu, P Sun, L Huang… - Molecular & Cellular …, 2023 - ASBMB
Liver cancer is among the top leading causes of cancer mortality worldwide. Particularly,
hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (CCA) have been …
hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (CCA) have been …
Deep Learning Enhanced Computational Mass Spectrometry: Novel Approaches for Spectrum Identification and Analysis in Proteomics
K Liu - 2024 - search.proquest.com
Abstract Tandem Mass Spectrometry (MS/MS) has become an essential tool of peptide and
protein analysis over the past decades, primarily due to its high throughput, sensitivity, and …
protein analysis over the past decades, primarily due to its high throughput, sensitivity, and …
MS1Former: A robust deep learning framework is used to identify nuances in LC-MS data for diagnosis of hepatocellular carcinoma
W Xu, L Zhang, N Sun, X Tu, D Zhou, X Qian, X Zheng… - 2024 - researchsquare.com
Clinical proteomics analysis is of great significance for analyzing pathological mechanisms
and discovering disease-related biomarkers. Using computational methods to accurately …
and discovering disease-related biomarkers. Using computational methods to accurately …