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 2021-11-01 to 2025-11-01.)
ArticleCitations
Excavation of gene markers associated with pancreatic ductal adenocarcinoma based on interrelationships of gene expression40
Transcriptome sequencing and metabolome analysis to reveal renewal evidence for drought adaptation in mulberry25
Predictor‐Based Output Feedback Control of Tumour Growth With Positive Input: Application to Antiangiogenic Therapy17
Novel Biomarker Identification for Acute Coronary Syndrome via Integrating WGCNA and Machine Learning13
Identifying driver modules based on multi‐omics biological networks in prostate cancer12
A comprehensive analysis of FBN2 in bladder cancer: A risk factor and the tumour microenvironment influencer10
Pan‐Cancer Integrative Analyses Reveal the Crosstalk Between the Intratumoral Microbiome, TP53 Mutation and Tumour Microenvironment10
Identification and analysis of epithelial‐mesenchymal transition‐related key long non‐coding RNAs in hypospadias9
Transcriptome Analyses Reveal the Important miRNAs Involved in Immune Response of Gastric Cancer9
PPDTS: Predicting potential drug–target interactions based on network similarity8
iGATTLDA: Integrative graph attention and transformer‐based model for predicting lncRNA‐Disease associations8
Disrupted myelination network in the cingulate cortex of Parkinson's disease7
High expression of centromere protein A and its molecular mechanism and clinical significance in prostate cancer: A study based on data mining and immunohistochemistry7
7
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
Human essential gene identification based on feature fusion and feature screening6
Robust positive control of tumour growth using angiogenic inhibition5
SRAS‐net: Low‐resolution chromosome image classification based on deep learning5
Prediction and analysis of genetic effect in idiopathic pulmonary fibrosis and gastroesophageal reflux disease5
Integrative Analysis of Mitochondrial‐Related Genes Reveals Diagnostic Biomarkers and Therapeutic Targets in Acute Pancreatitis5
5
MRANet: Multi‐Dimensional Residual Attentional Network for Precise Polyp Segmentation5
Genes associated with diagnosis and prognosis of Burkitt lymphoma4
Co‐Expression Transcriptomic Profiling Identifies Sex‐Universal Molecular Markers of Muscle Atrophy4
Continuous Cuffless Blood Pressure Estimation Based on Fractional Order Derivatives via Gramian Angular Field Only Using Photoplethysmograms4
Identification of HIBCH and MGME1 as Mitochondrial Dynamics‐Related Biomarkers in Alzheimer's Disease Via Integrated Bioinformatics Analysis4
Identification of molecular subtypes of ischaemic stroke based on immune‐related genes and weighted co‐expression network analysis3
Comprehensive analysis of LILR family genes expression and tumour‐infiltrating immune cells in early‐stage pancreatic ductal adenocarcinoma3
3
CAAFE‐ResNet: A ResNet With Channel Attention‐Augmented Feature Extraction for Prognostic Assessment in Rectal Cancer3
SpaGraphCCI: Spatial cell–cell communication inference through GAT‐based co‐convolutional feature integration3
PMLocMSCAM: Predicting miRNA Subcellular Localisations by miRNA Similarities and Cross‐Attention Mechanism3
Comprehensive analysis of alternative splicing signatures in pancreatic head cancer3
Machine learning unveils RNA polymerase II binding as a predictor for SMAD2‐dependent transcription dynamics in response to Actvin signalling3
Cuproptosis‐related lncRNAs are correlated with tumour metabolism and immune microenvironment and predict prognosis in pancreatic cancer patients3
Identification of an M1 Macrophages‐Related Signature for Predicting the Survival and Therapeutic Response in Gastric Cancer3
The Potential Mechanism of Kushen Decoction in Treating Haemorrhoids: An Integration of Network Pharmacology, Molecular Docking and Molecular Dynamics Simulation2
Gene signatures of endoplasmic reticulum stress and mitophagy for prognostic risk prediction in lung adenocarcinoma2
Identification of the key genes and immune infiltrating cells determined by sex differences in ischaemic stroke through co‐expression network module2
ACP‐DPE: A Dual‐Channel Deep Learning Model for Anticancer Peptide Prediction2
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StackAHTPs: An explainable antihypertensive peptides identifier based on heterogeneous features and stacked learning approach2
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Anoikis‐related genes as potential prognostic biomarkers in gastric cancer: A multilevel integrative analysis and predictive therapeutic value2
DNA methylation plays important roles in lifestyle transition of Arthrobotrys oligospora2
Cascade Aggregation Network for Accurate Polyp Segmentation2
Adjusting laser power to control the heat generated by nanoparticles at the site of a patient's cells2
scRSSL: Residual semi‐supervised learning with deep generative models to automatically identify cell types1
1
Deep‐GB: A novel deep learning model for globular protein prediction using CNN‐BiLSTM architecture and enhanced PSSM with trisection strategy1
Gut Microbiota Mediate Periampullary Cancer Through Extracellular Matrix Proteins: A Causal Relationship Study1
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
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 calibrator1
Kinetic modelling of β ‐cell metabolism reveals control points in the insulin‐regulating pyruvate cycling pathways1
1
1
Characterising and Evaluating the Immune Microenvironment Landscapes of Colorectal Cancer Shaped by Different Therapies1
Bioinformatics approach to identify the hub gene associated with COVID‐19 and idiopathic pulmonary fibrosis1
Investigating the Impact of Antibiotics on Environmental Microbiota Through Machine Learning Models1
Integration of Single‐Cell RNA and Bulk RNA Sequencing Reveals Cellular Heterogeneity and Identifies Survival‐Associated Regulatory Networks in Glioblastoma1
An immune‐related multi‐omics analysis of dolichyl‐diphosphooligosaccharide protein glycosyltransferase in glioma: Prognostic value exploration and competitive endogenous RNA network identification1
The ‘Other’ subfamily of HECT E3 ubiquitin ligases evaluate the tumour immune microenvironment and prognosis in patients with hepatocellular carcinoma1
Proteins Combined Score Prediction Based on Improved Gene Expression Programming Algorithm and Protein–Protein Interaction Network Characterization1
1
Identification of CCR7 and CBX6 as key biomarkers in abdominal aortic aneurysm: Insights from multi‐omics data and machine learning analysis1
Inference and analysis of cell‐cell communication of non‐myeloid circulating cells in late sepsis based on single‐cell RNA‐seq1
RYR2 mutation in non‐small cell lung cancer prolongs survival via down‐regulation of DKK1 and up‐regulation of 1
Integrated bioinformatics analysis identified leucine rich repeat containing 15 and secreted phosphoprotein 1 as hub genes for calcific aortic valve disease and osteoarthritis1
SeqBMC: Single‐cell data processing using iterative block matrix completion algorithm based on matrix factorisation1
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