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International Journal of Data Mining and Bioinformatics, Volume 29
Volume 29, Numbers 1/2, 2025
- Bikash Baruah, Domum Karlo, Manash Pratim Dutta, Subhasish Banerjee, Dhruba K. Bhattacharyya:
Identification of potential biomarkers of esophageal squamous cell carcinoma using community detection algorithms. 1-20 - Hui Yan, Yunxin Long, Chao Lv, Ping Yu, Duo Long:
Research on bioinformatics data classification method based on support vector machine. 21-35 - Selim Orhun Susam, Burcu Hudaverdi Ucer:
Spearman dependence function-based goodness-of-fit test for the gene's relation. 36-50 - Siguang Dai:
Research on facial dataset cleaning in mixed scenes based on spatiotemporal correlation. 51-66 - Yanhua Shen, Bing Gao:
Prediction method of commercial customers' mental health based on data mining. 67-86 - Mounira Lakab, Abdelouahab Moussaoui:
Longitudinal analysis for predicting amino acid changes in HIV-1 using association rule mining. 87-101 - Guanpeng Xu, Liang Zhao:
Classification and retrieval method of personal health data based on differential privacy. 102-118 - Zhiwei Liu, Xiaoyu Li, Dejun Mu:
Log anomaly detection and diagnosis method based on deep learning. 119-132 - Kshatrapal Singh, Laxman Singh, Vijay Shukla, Yogesh Kumar Sharma, Arun Kumar Rai:
An advanced approach for DNA sequencing and similarities analysis on the basis of groupings of nucleotide bases. 133-149 - Hazim Alsharabaty, Niveen Alayasi, Safa Radi Jabarin, Siba Shanak, Hilal Zaid:
In silico evaluation via the docking of selected antidiabetic phytochemicals on proteins in the insulin signalling pathway: PTP1B, IRS1 and PP2A. 150-168 - Yan Chen, Zhenjie Hou, Wenguang Zhang, Han Li, Haibin Yao:
Cross-modal imputation and gated GCN for predicting miRNA-disease association (CIGGNET). 169-192 - D. Kavitha, Ambayiram Chinnasamy, PrabathKumar Selvakumari:
Intelligent decision-making framework for big data using enhanced honey badger-based adaptive hybrid deep learning network. 193-222 - Zengxin Li, Shiling Song, Jin Deng:
Integrating pathological images and genomics data to identify prognostic features related to recurrence of sarcoma. 223-237
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