IET Systems Biology

Papers
(The TQCC of IET Systems Biology is 2. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Excavation of gene markers associated with pancreatic ductal adenocarcinoma based on interrelationships of gene expression17
Identifying driver modules based on multi‐omics biological networks in prostate cancer13
Novel Biomarker Identification for Acute Coronary Syndrome via Integrating WGCNA and Machine Learning11
Predictor‐Based Output Feedback Control of Tumour Growth With Positive Input: Application to Antiangiogenic Therapy11
A comprehensive analysis of FBN2 in bladder cancer: A risk factor and the tumour microenvironment influencer10
Transcriptome sequencing and metabolome analysis to reveal renewal evidence for drought adaptation in mulberry10
Functionalist Oncology to Model the Contextuality of Dynamics and Treatment in Acute Myeloid Leukaemia9
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‐Analysis9
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
High expression of centromere protein A and its molecular mechanism and clinical significance in prostate cancer: A study based on data mining and immunohistochemistry8
7
Transcriptome Analyses Reveal the Important miRNAs Involved in Immune Response of Gastric Cancer7
Pan‐Cancer Integrative Analyses Reveal the Crosstalk Between the Intratumoral Microbiome, TP53 Mutation and Tumour Microenvironment7
Integrative Analysis of Mitochondrial‐Related Genes Reveals Diagnostic Biomarkers and Therapeutic Targets in Acute Pancreatitis6
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 analysis6
Robust positive control of tumour growth using angiogenic inhibition5
MRANet: Multi‐Dimensional Residual Attentional Network for Precise Polyp Segmentation5
Human essential gene identification based on feature fusion and feature screening5
Prediction and analysis of genetic effect in idiopathic pulmonary fibrosis and gastroesophageal reflux disease5
Gut Microbiome and Paediatric Inflammatory Bowel Disease: Emerging Mechanistic and Therapeutic Insights Into Pathogenesis and Microbiota‐Based Approaches5
MFS‐Unet: A Multi‐Path Vision Mamba Network for Precise Thyroid Nodule Segmentation5
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 Validation4
Identification of HIBCH and MGME1 as Mitochondrial Dynamics‐Related Biomarkers in Alzheimer's Disease Via Integrated Bioinformatics Analysis4
Fractional Order Total Variation Low‐Rank Representation on Single‐Cell RNA Sequencing Clustering4
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
Cuproptosis‐related lncRNAs are correlated with tumour metabolism and immune microenvironment and predict prognosis in pancreatic cancer patients3
Machine learning unveils RNA polymerase II binding as a predictor for SMAD2‐dependent transcription dynamics in response to Actvin signalling3
3
Application of Fast Integration Strategy for Multi‐Omics Data and Limited Random Forest Model in Survival Prediction of Glioblastoma3
Comprehensive analysis of LILR family genes expression and tumour‐infiltrating immune cells in early‐stage pancreatic ductal adenocarcinoma3
Comprehensive analysis of alternative splicing signatures in pancreatic head cancer3
Utilising Machine Learning and Single‐Cell Analysis to Uncover SKCM Metastasis–Related Genes3
PMLocMSCAM: Predicting miRNA Subcellular Localisations by miRNA Similarities and Cross‐Attention Mechanism3
Identification of molecular subtypes of ischaemic stroke based on immune‐related genes and weighted co‐expression network analysis3
SpaGraphCCI: Spatial cell–cell communication inference through GAT‐based co‐convolutional feature integration3
2
Mechanistic Investigation of Nitidine Chloride‐Mediated Anti‐Colorectal Cancer Activity: Centromere‐Associated Protein E Targeting via Integrated Molecular Dynamics, Spatial Transcriptomic and Single‐2
Anoikis‐related genes as potential prognostic biomarkers in gastric cancer: A multilevel integrative analysis and predictive therapeutic value2
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
CAAFE‐ResNet: A ResNet With Channel Attention‐Augmented Feature Extraction for Prognostic Assessment in Rectal Cancer2
Pan‐Cancer Analysis of CLDN3 and Its Contribution to 5‐FU Resistance in Colorectal Cancer2
DNA methylation plays important roles in lifestyle transition of Arthrobotrys oligospora2
The Potential Mechanism of Kushen Decoction in Treating Haemorrhoids: An Integration of Network Pharmacology, Molecular Docking and Molecular Dynamics Simulation2
An immune‐related multi‐omics analysis of dolichyl‐diphosphooligosaccharide protein glycosyltransferase in glioma: Prognostic value exploration and competitive endogenous RNA network identification2
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
2
ACP‐DPE: A Dual‐Channel Deep Learning Model for Anticancer Peptide Prediction2
StackAHTPs: An explainable antihypertensive peptides identifier based on heterogeneous features and stacked learning approach2
CFMF: A Clustering‐Free Cell Marker Finder for Single‐Cell Transcriptomic Data2
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