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  • IET Systems Biology: 2023, vol: , issue:
  • 1)- Rahul Rahul, Adam R Stinchcombe, Jamie W Joseph, Brian Ingalls. Kinetic modelling of β-cell metabolism reveals control points in the insulin-regulating pyruvate cycling pathways. IET systems biology. 2023, 17 (6): 303-315
    Cited : 1
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  • 2)- Rui Shi, Wen-Man Zhao, Li Zhu, Rui-Feng Wang, De-Guang Wang. Identification of basement membrane markers in diabetic kidney disease and immune infiltration by using bioinformatics analysis and experimental verification. IET systems biology. 2023, 17 (6): 316-326
    Cited : 3
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  • 3)- Luoyi Wang, Zhaomin Mao, Fengmin Shao. 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 analysis. IET systems biology. 2023, 17 (6): 327-335
    Cited : 0
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  • 4)- Wenchao Shi, Tinghui Li, Huiwen Li, Juan Ren, Meiyu Lv, Qi Wang, Yaowu He, Yao Yu, Lijie Liu, Shoude Jin, Hong Chen. Bioinformatics approach to identify the hub gene associated with COVID-19 and idiopathic pulmonary fibrosis. IET systems biology. 2023, 17 (6): 336-351
    Cited : 3
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  • 5)- Peipei Chen, Lubin Xie, Leikai Ma, Xianda Zhao, Yong Chen, Zhouling Ge. Prediction and analysis of genetic effect in idiopathic pulmonary fibrosis and gastroesophageal reflux disease. IET systems biology. 2023, 17 (6): 352-365
    Cited : 0
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  • 6)- Dianqian Wang, Dongxiao Ding, Junjie Ying, Yunsheng Qin. Bioinformatics identification of a T-cell-related signature for predicting prognosis and drug sensitivity in hepatocellular carcinoma. IET systems biology. 2023, 17 (6): 366-377
    Cited : 0
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  • 7)- Fang-Cheng Jiang, Gao-Qiang Zhai, Jia-Lin Liu, Rui-Gong Wang, Yuan-Ping Yang, Harivignesh Murugesan, Xiao-Xiang Yu, Xiu-Fang Du, Juan He, Zhen-Bo Feng, Shang Ling Pan, Gang Chen, Sheng-Hua Li, Zhi-Guang Huang. High expression of centromere protein A and its molecular mechanism and clinical significance in prostate cancer: A study based on data mining and immunohistochemistry. IET systems biology. 2023, 17 (5): 245-258
    Cited : 0
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  • 8)- Xiaowei Zhang. Single-cell RNA sequencing identifies macrophage signatures correlated with clinical features and tumour microenvironment in meningiomas. IET systems biology. 2023, 17 (5): 259-270
    Cited : 1
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  • 9)- Jie Liu, Chao Feng, Min Liu, Yan Zhou, Yuezhen Shen, Jianxin Li, Xiangyang Wei. An immune-related multi-omics analysis of dolichyl-diphosphooligosaccharide protein glycosyltransferase in glioma: Prognostic value exploration and competitive endogenous RNA network identification. IET systems biology. 2023, 17 (5): 271-287
    Cited : 1
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  • 10)- Mohamadreza Homayounzade, Maryam Homayounzadeh, Mohammad Hassan Khooban. Robust positive control of tumour growth using angiogenic inhibition. IET systems biology. 2023, 17 (5): 288-301
    Cited : 0
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  • 11)- Darrak Moin Quddusi, Naim Bajcinca. Identification of genomic biomarkers and their pathway crosstalks for deciphering mechanistic links in glioblastoma. IET systems biology. 2023, 17 (4): 143-161
    Cited : 2
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  • 12)- Zechao Lu, Zeguang Lu, Yongchang Lai, Haobin Zhou, Zhibiao Li, Wanyan Cai, Zeyao Xu, Hongcheng Luo, Yushu Chen, Jianyu Li, Jishen Zhang, Zhaohui He, Fucai Tang. A comprehensive analysis of FBN2 in bladder cancer: A risk factor and the tumour microenvironment influencer. IET systems biology. 2023, 17 (4): 162-173
    Cited : 2
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  • 13)- Yanling Wang, Weiyu Ge, Shengbai Xue, Jiujie Cui, Xiaofei Zhang, Tiebo Mao, Haiyan Xu, Shumin Li, Jingyu Ma, Ming Yue, Daiyuan Shentu, Liwei Wang. Cuproptosis-related lncRNAs are correlated with tumour metabolism and immune microenvironment and predict prognosis in pancreatic cancer patients. IET systems biology. 2023, 17 (4): 174-186
    Cited : 2
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  • 14)- Xiaoyong Shen, Zheng Su, Yan Dou, Xin Song. A novel investigation into an E2F transcription factor-related prognostic model with seven signatures for colon cancer patients. IET systems biology. 2023, 17 (4): 187-197
    Cited : 0
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  • 15)- Sihao Du, Ke Cao, Zhenshun Wang, Dongdong Lin. Comprehensive analysis of anoikis-related lncRNAs for predicting prognosis and response of immunotherapy in hepatocellular carcinoma. IET systems biology. 2023, 17 (4): 198-211
    Cited : 1
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  • 16)- Qingxian Wang, Yunhe Chang, Xuqing Yang, Ziwang Han. Deep sequencing of circulating miRNAs and target mRNAs level in deep venous thrombosis patients. IET systems biology. 2023, 17 (4): 212-227
    Cited : 4
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  • 17)- Xiaolong Tang, Yandong Miao, Lixia Yang, Wuhua Ha, Zheng Li, Denghai Mi. Single-cell RNA-seq and bulk RNA-seq explore the prognostic value of exhausted T cells in hepatocellular carcinoma. IET systems biology. 2023, 17 (4): 228-244
    Cited : 0
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  • 18)- Yiting Wei, Bingo Wing-Kuen Ling, Danni Chen, Yuheng Dai, Qing Liu. Fusion of various optimisation based feature smoothing methods for wearable and non-invasive blood glucose estimation. IET systems biology. 2023, 17 (3): 107-120
    Cited : 0
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  • 19)- Ning Liu, Guangjing Liu, Qian Ma, Xiaobing Li. Chromosome instability-associated prognostic signature and cluster investigation for cutaneous melanoma cases. IET systems biology. 2023, 17 (3): 121-130
    Cited : 2
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  • 20)- Khadijeh Sadegh, Amirhossein Ahmadi. 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 calibrator. IET systems biology. 2023, 17 (3): 131-141
    Cited : 0
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  • 21)- Yue Sun, Weiran Dai, Wenwen He. Identification of key immune-related genes and immune infiltration in diabetic nephropathy based on machine learning algorithms. IET systems biology. 2023, 17 (3): 95-106
    Cited : 2
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  • 22)- Qiang Gao, Shutian Mo, Chuangye Han, Xiwen Liao, Chengkun Yang, Xiangkun Wang, Tianyi Liang, Yongfei He, Zijun Chen, Guangzhi Zhu, Hao Su, Xinping Ye, Tao Peng. Comprehensive analysis of LILR family genes expression and tumour-infiltrating immune cells in early-stage pancreatic ductal adenocarcinoma. IET systems biology. 2023, 17 (2): 39-57
    Cited : 5
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  • 23)- Duncan Wei, Xiaopu Chen, Jing Xu, Wenzhen He. Identification of molecular subtypes of ischaemic stroke based on immune-related genes and weighted co-expression network analysis. IET systems biology. 2023, 17 (2): 58-69
    Cited : 2
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  • 24)- Sheng-Hua Li, Gao-Qiang Zhai, Rong-Quan He, Gang Chen, Shi-Shuo Wang, Jia-Lin Liu, Ji-Wen Cheng, Hai-Biao Yan, Zhi-Guang Huang. Down-regulation and clinical significance of Sorbin and SH3 domain-containing protein 1 in bladder cancer tissues. IET systems biology. 2023, 17 (2): 70-82
    Cited : 2
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  • 25)- Manyi Sun, Shuhua Lv, Jin Zhong. In silico analysis of the association between long non-coding RNA family with sequence similarity 99 member A (FAM99A) and hepatic cancer. IET systems biology. 2023, 17 (2): 83-94
    Cited : 1
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  • 26)- Caterina Thomaseth, Nicole E Radde. The effect of normalisation and error model choice on the distribution of the maximum likelihood estimator for a biochemical reaction. IET systems biology. 2023, 17 (1): 1-13
    Cited : 1
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  • 27)- Lingshan Zhou, Yuan Yang, Jian Ma, Min Liu, Rong Liu, Xiaopeng Ma, Chengdong Qiao. Comprehensive analysis of alternative splicing signatures in pancreatic head cancer. IET systems biology. 2023, 17 (1): 14-26
    Cited : 0
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  • 28)- Zehuai Guo, Xiangjun Qi, Zeyun Li, Jianying Yang, Zhe Sun, Peiqin Li, Ming Chen, Yang Cao. Development and validation of an immune-related gene signature for prognosis in Lung adenocarcinoma. IET systems biology. 2023, 17 (1): 27-38
    Cited : 1
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  • 29)- Lei Pang, Zijun Ding, Xiaodong Bian, Weibing Shuang. Research on symptoms composition, time series evolution, and network visualisation of interstitial cystitis based on complex network community discovery algorithm. IET systems biology. 2023, :
    Cited : 0
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