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 …
FM-FCN: a neural network with filtering modules for accurate vital signs extraction
Neural networks excel at capturing local spatial patterns through convolutional modules, but
they may struggle to identify and effectively utilize the morphological and amplitude periodic …
they may struggle to identify and effectively utilize the morphological and amplitude periodic …
oBABC: A one-dimensional binary artificial bee colony algorithm for binary optimization
Artificial bee colony (ABC) algorithm is a widely utilized swarm intelligence (SI) algorithm for
addressing continuous optimization problems. However, most binary variants of ABC …
addressing continuous optimization problems. However, most binary variants of ABC …
Artificial intelligence-based evaluation of prognosis in cirrhosis
Y Zhai, D Hai, L Zeng, C Lin, X Tan, Z Mo, Q Tao… - Journal of Translational …, 2024 - Springer
Cirrhosis represents a significant global health challenge, characterized by high morbidity
and mortality rates that severely impact human health. Timely and precise prognostic …
and mortality rates that severely impact human health. Timely and precise prognostic …
AttnPep: A Self-Attention-Based Deep Learning Method for Peptide Identification in Shotgun Proteomics
Y Li, Q He, H Guo, SC Shuai, J Cheng… - Journal of proteome …, 2024 - ACS Publications
In shotgun proteomics, the proteome search engine analyzes mass spectra obtained by
experiments, and then a peptide-spectra match (PSM) is reported for each spectrum …
experiments, and then a peptide-spectra match (PSM) is reported for each spectrum …
ProPept-MT: A Multi-Task Learning Model for Peptide Feature Prediction
In the realm of quantitative proteomics, data-independent acquisition (DIA) has emerged as
a promising approach, offering enhanced reproducibility and quantitative accuracy …
a promising approach, offering enhanced reproducibility and quantitative accuracy …
LMCD-OR: a large-scale, multilevel categorized diagnostic dataset for oral radiography
J Zhu, L Zeng, Z Mo, L Cao, Y Wu, L Hong… - Journal of Translational …, 2024 - Springer
In recent years, digital dentistry has increasingly utilized advanced image analysis
techniques, such as image classification and disease diagnosis, to improve clinical …
techniques, such as image classification and disease diagnosis, to improve clinical …
UNet-Att: a self-supervised denoising and recovery model for two-photon microscopic image
Y Lu, Y Ying, C Lin, Y Wang, J **, X Jiang… - Complex & Intelligent …, 2025 - Springer
Two-photon microscopy is indispensable in cell and molecular biology for its high-resolution
visualization of cellular and molecular dynamics. However, the inevitable low signal-to-noise …
visualization of cellular and molecular dynamics. However, the inevitable low signal-to-noise …
Dear‐PSM: A deep learning‐based peptide search engine enables full database search for proteomics
Peptide spectrum matching is the process of linking mass spectrometry data with peptide
sequences. An experimental spectrum can match thousands of candidate peptides with …
sequences. An experimental spectrum can match thousands of candidate peptides with …