IET Systems Biology

Papers
(The median citation count of IET Systems Biology is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
Excavation of gene markers associated with pancreatic ductal adenocarcinoma based on interrelationships of gene expression43
A comprehensive analysis of FBN2 in bladder cancer: A risk factor and the tumour microenvironment influencer28
Identifying driver modules based on multi‐omics biological networks in prostate cancer18
The Accuracy in Rupture Risk Prediction of Intracranial Aneurysms by Artificial Intelligence Algorithms Using Imaging Data From CTA and DSA: A Systematic Review and Meta‐Analysis15
Transcriptome sequencing and metabolome analysis to reveal renewal evidence for drought adaptation in mulberry11
Predictor‐Based Output Feedback Control of Tumour Growth With Positive Input: Application to Antiangiogenic Therapy10
Novel Biomarker Identification for Acute Coronary Syndrome via Integrating WGCNA and Machine Learning10
High expression of centromere protein A and its molecular mechanism and clinical significance in prostate cancer: A study based on data mining and immunohistochemistry9
Identification and analysis of epithelial‐mesenchymal transition‐related key long non‐coding RNAs in hypospadias9
iGATTLDA: Integrative graph attention and transformer‐based model for predicting lncRNA‐Disease associations8
Transcriptome Analyses Reveal the Important miRNAs Involved in Immune Response of Gastric Cancer8
Pan‐Cancer Integrative Analyses Reveal the Crosstalk Between the Intratumoral Microbiome, TP53 Mutation and Tumour Microenvironment8
Human essential gene identification based on feature fusion and feature screening7
Identification of toll‐like receptor 5 and acyl‐CoA synthetase long chain family member 1 as hub genes are correlated with the severe forms of COVID‐19 by Weighted gene co‐expression network analysis7
7
MRANet: Multi‐Dimensional Residual Attentional Network for Precise Polyp Segmentation6
Disrupted myelination network in the cingulate cortex of Parkinson's disease6
Integrative Analysis of Mitochondrial‐Related Genes Reveals Diagnostic Biomarkers and Therapeutic Targets in Acute Pancreatitis6
Prediction and analysis of genetic effect in idiopathic pulmonary fibrosis and gastroesophageal reflux disease5
5
Continuous Cuffless Blood Pressure Estimation Based on Fractional Order Derivatives via Gramian Angular Field Only Using Photoplethysmograms5
SRAS‐net: Low‐resolution chromosome image classification based on deep learning5
Robust positive control of tumour growth using angiogenic inhibition5
Gut Microbiome and Paediatric Inflammatory Bowel Disease: Emerging Mechanistic and Therapeutic Insights Into Pathogenesis and Microbiota‐Based Approaches4
Identification of HIBCH and MGME1 as Mitochondrial Dynamics‐Related Biomarkers in Alzheimer's Disease Via Integrated Bioinformatics Analysis4
Genes associated with diagnosis and prognosis of Burkitt lymphoma4
A Super‐Enhancer‐Related Ferroptosis Signature Predicts Survival and Immune Microenvironment in Colon Cancer Based on Bioinformatics Analyses and Experimental Validation3
Cuproptosis‐related lncRNAs are correlated with tumour metabolism and immune microenvironment and predict prognosis in pancreatic cancer patients3
3
PMLocMSCAM: Predicting miRNA Subcellular Localisations by miRNA Similarities and Cross‐Attention Mechanism3
Machine learning unveils RNA polymerase II binding as a predictor for SMAD2‐dependent transcription dynamics in response to Actvin signalling3
Comprehensive analysis of LILR family genes expression and tumour‐infiltrating immune cells in early‐stage pancreatic ductal adenocarcinoma3
Identification of molecular subtypes of ischaemic stroke based on immune‐related genes and weighted co‐expression network analysis3
Co‐Expression Transcriptomic Profiling Identifies Sex‐Universal Molecular Markers of Muscle Atrophy3
SpaGraphCCI: Spatial cell–cell communication inference through GAT‐based co‐convolutional feature integration3
Comprehensive analysis of alternative splicing signatures in pancreatic head cancer3
2
StackAHTPs: An explainable antihypertensive peptides identifier based on heterogeneous features and stacked learning approach2
2
ACP‐DPE: A Dual‐Channel Deep Learning Model for Anticancer Peptide Prediction2
Integrated bioinformatics analysis identified leucine rich repeat containing 15 and secreted phosphoprotein 1 as hub genes for calcific aortic valve disease and osteoarthritis2
CAAFE‐ResNet: A ResNet With Channel Attention‐Augmented Feature Extraction for Prognostic Assessment in Rectal Cancer2
DNA methylation plays important roles in lifestyle transition of Arthrobotrys oligospora2
Anoikis‐related genes as potential prognostic biomarkers in gastric cancer: A multilevel integrative analysis and predictive therapeutic value2
An immune‐related multi‐omics analysis of dolichyl‐diphosphooligosaccharide protein glycosyltransferase in glioma: Prognostic value exploration and competitive endogenous RNA network identification2
SeqBMC: Single‐cell data processing using iterative block matrix completion algorithm based on matrix factorisation2
Cascade Aggregation Network for Accurate Polyp Segmentation2
Identification of an M1 Macrophages‐Related Signature for Predicting the Survival and Therapeutic Response in Gastric Cancer2
Gene signatures of endoplasmic reticulum stress and mitophagy for prognostic risk prediction in lung adenocarcinoma2
Adjusting laser power to control the heat generated by nanoparticles at the site of a patient's cells2
Hub genes and pathways in gastric cancer: A comparison between studies that used normal tissues adjacent to the tumour and studies that used healthy tissues as calibrator2
Integration of Single‐Cell RNA and Bulk RNA Sequencing Reveals Cellular Heterogeneity and Identifies Survival‐Associated Regulatory Networks in Glioblastoma2
The Potential Mechanism of Kushen Decoction in Treating Haemorrhoids: An Integration of Network Pharmacology, Molecular Docking and Molecular Dynamics Simulation2
The ‘Other’ subfamily of HECT E3 ubiquitin ligases evaluate the tumour immune microenvironment and prognosis in patients with hepatocellular carcinoma1
1
Kinetic modelling of β ‐cell metabolism reveals control points in the insulin‐regulating pyruvate cycling pathways1
Investigating the Impact of Antibiotics on Environmental Microbiota Through Machine Learning Models1
MFR‐UNet: A Medical Image Segmentation Network With Fused Multi‐Scale Feature Refinement1
1
Deep‐GB: A novel deep learning model for globular protein prediction using CNN‐BiLSTM architecture and enhanced PSSM with trisection strategy1
1
PADG‐Pred: Exploring Ensemble Approaches for Identifying Parkinson's Disease Associated Biomarkers Using Genomic Sequences Analysis1
In silico analysis of the association between long non‐coding RNA family with sequence similarity 99 member A ( FAM99A ) and hepatic cancer1
Bioinformatics approach to identify the hub gene associated with COVID‐19 and idiopathic pulmonary fibrosis1
scRSSL: Residual semi‐supervised learning with deep generative models to automatically identify cell types1
Comprehensive transcriptome and scRNA‐seq analyses uncover the expression and underlying mechanism of SYNJ2 in papillary thyroid carcinoma1
Inference and analysis of cell‐cell communication of non‐myeloid circulating cells in late sepsis based on single‐cell RNA‐seq1
1
A Neutrophil‐Based Predictive Model for Axillary De‐Escalation After Neoadjuvant Therapy in Node‐Positive Breast Cancer1
1
Characterising and Evaluating the Immune Microenvironment Landscapes of Colorectal Cancer Shaped by Different Therapies1
Proteins Combined Score Prediction Based on Improved Gene Expression Programming Algorithm and Protein–Protein Interaction Network Characterization1
Identification of CCR7 and CBX6 as key biomarkers in abdominal aortic aneurysm: Insights from multi‐omics data and machine learning analysis1
Gut Microbiota Mediate Periampullary Cancer Through Extracellular Matrix Proteins: A Causal Relationship Study1
0.06016993522644