Changsong Ding
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View article: Identifying ferroptosis-related genes in lung adenocarcinoma using random walk with restart in the PPI network
Identifying ferroptosis-related genes in lung adenocarcinoma using random walk with restart in the PPI network Open
Lung adenocarcinoma (LUAD), the most common non-small cell lung cancer subtype, often presents with subtle early symptoms leading to delayed diagnosis. Ferroptosis, a cell death process associated with iron metabolism dysregulation, has be…
View article: Changes in metabolites in raw and wine processed Corni Fructus combination metabolomics with network analysis focusing on potential hypoglycemic effects
Changes in metabolites in raw and wine processed Corni Fructus combination metabolomics with network analysis focusing on potential hypoglycemic effects Open
Introduction: Corni Fructus (CF) is a Chinese herbal medicine used for medicinal and dietary purposes. It is available commercially in two main forms: raw CF (unprocessed CF) and wine-processed CF. Clinical observations have indicated that…
View article: Combining convolutional attention mechanism and residual deformable Transformer for infarct segmentation from CT scans of acute ischemic stroke patients
Combining convolutional attention mechanism and residual deformable Transformer for infarct segmentation from CT scans of acute ischemic stroke patients Open
Background Segmentation and evaluation of infarcts on medical images are essential for diagnosis and prognosis of acute ischemic stroke (AIS). Computed tomography (CT) is the first-choice examination for patients with AIS. Methods To accur…
View article: SMRGAT: A traditional Chinese herb recommendation model based on a multi-graph residual attention network and semantic knowledge fusion
SMRGAT: A traditional Chinese herb recommendation model based on a multi-graph residual attention network and semantic knowledge fusion Open
Our experimental results on two datasets indicate that SMRGAT is capable of recommending herbs with greater precision and outperforms several comparison methods. It can provide a basis for assisting TCM clinical prescriptions.
View article: A New Protein Complex Recognition Algorithm Based on Spatial-Temporal Graph Convolution
A New Protein Complex Recognition Algorithm Based on Spatial-Temporal Graph Convolution Open
Accurate recognition of protein complexes is of great practical significance for biological process mechanism research, disease dynamic analysis, target spot based drug design and other applications. However, the existing recognition algor…
View article: An Improved Deep Learning Model: S-TextBLCNN for Traditional Chinese Medicine Formula Classification
An Improved Deep Learning Model: S-TextBLCNN for Traditional Chinese Medicine Formula Classification Open
Purpose: This study proposes an S-TextBLCNN model for the efficacy of traditional Chinese medicine (TCM) formula classification. This model uses deep learning to analyze the relationship between herb efficacy and formula efficacy, which is…
View article: Improving the Accuracy in Classification of Blood Pressure from Photoplethysmography Using Continuous Wavelet Transform and Deep Learning
Improving the Accuracy in Classification of Blood Pressure from Photoplethysmography Using Continuous Wavelet Transform and Deep Learning Open
Background. Continuous wavelet transform (CWT) based scalogram can be used for photoplethysmography (PPG) signal transformation to classify blood pressure (BP) with deep learning. We aimed to investigate the determinants that can improve t…
View article: Research on classification diagnosis model of psoriasis based on deep residual network
Research on classification diagnosis model of psoriasis based on deep residual network Open
A classification and diagnosis model for psoriasis based on deep residual network is proposed in this paper. Which using deep learning technology to classify and diagnose psoriasis can help reduce the burden of doctors, simplify the diagno…
View article: Metabolomics Analysis of Hippocampus and Cortex in a Rat Model of Traumatic Brain Injury in the Subacute Phase
Metabolomics Analysis of Hippocampus and Cortex in a Rat Model of Traumatic Brain Injury in the Subacute Phase Open
Traumatic brain injury (TBI) is a complex and serious disease as its multifaceted pathophysiological mechanisms remain vague. The molecular changes of hippocampal and cortical dysfunction in the process of TBI are poorly understood, especi…
View article: Research on Herb Pairs of Classical Formulae of ZHANG Zhong-Jing Using Big Data Technology
Research on Herb Pairs of Classical Formulae of ZHANG Zhong-Jing Using Big Data Technology Open
Objective: To analyze various herbal combinations in Treatise on Exogenous Febrile Diseases (Shang Han Lun,《伤寒论》) and Synopsis of Prescriptions of the Golden Chamber (Jin Gui Yao Lve, 《金匮要略》), seeking to identify fundamental rules dictatin…