Showing 901 - 920 results of 1,037 for search 'mining methods detection', query time: 0.11s Refine Results
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    ESCRT may function as a tumor biomarker, transitioning from pan-cancer analysis to validation within breast cancer by Xiao-rui Chen, Xiao-rui Chen, Xue-ying Tan, Zong-liang Zhang, Jiang-shui Yuan, Wei-qing Song, Wei-qing Song

    Published 2025-03-01
    “…BRCA was used to explore its effects on tumor prognosis and therapy.MethodsThe data sets of Cancer Genome Atlas (TCGA), Genome-Tissue Expression Plan (GTEX), Human Protein Mapping (HPA), Gene Expression Omnibus (GEO), Clinical Proteomic Tumor Analysis Consortium (CPTAC), R software package, and bioinformatics methods were used to mine the potential carcinogenic effects of ESCRT, including the expression level, prognostic value, and immune value of ESCRT in various types of tumor tissues, and the potential function of ESCRT family genes was further verified in breast cancer.ResultsESCRT showed significant differential expression in various cancers, such as bladder urothelial carcinoma and liver, cervical, renal, esophageal, head, and neck cancers (P <0.05). …”
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    Forecast of the morphology and occurrence conditions of complex chromite ore bodies (on example of Labogeyskoe-2 site, Polar Urals) by T. P. Morozova, E. V. Karelina, V. E. Markov

    Published 2022-10-01
    “…Evaluation of the Labogeyskoye-2 ore occurrence for the application of the information obtained and methods of its study in the study of a similar Levopayersk ore body, which will help save time and finances in the design and more efficient exploration.Materials and methods. …”
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    Causal relationship between educational attainment and the occurrence of venous thromboembolism by Sitong Guo, Sitao Tan, Shiran Qin, Dandan Xu, Henghai Su, Xiaoyu Chen

    Published 2025-02-01
    “…We aimed to assess the causal effect of EA on VTE using the two-sample mendelian randomization (MR) method. Methods Data mining was conducted on the genome wide association studies (GWAS), with exposure factor EA and outcome factor VTE. …”
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    Utilizing Machine Learning Techniques for Cancer Prediction and Classification based on Gene Expression Data by Mariwan Mahmood Hama Aziz, Sozan Abdullah Mahmood

    Published 2025-06-01
    “…Lately, several studies have delved into cancer classification by leveraging data mining techniques, machine learning algorithms, and statistical methods to thoroughly analyze high-dimensional datasets. …”
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    Crime Busting Model Based on Dynamic Ranking Algorithms by Yang Cao, Xiaotian Xu, Zhijing Ye

    Published 2013-01-01
    “…This paper proposed a crime busting model with two dynamic ranking algorithms to detect the likelihood of a suspect and the possibility of a leader in a complex social network. …”
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    Therapeutic target genes and regulatory networks of gallic acid in cervical cancer by Zhixi You, Ye Lei, Yongkang Yang, Zhihui Zhou, Xu Chao, Keyi Ju, Songyi Wang, Yuanyuan Li, Yuanyuan Li

    Published 2025-01-01
    “…The upstream 13 miRNAs, 4 lncRNA, and 42 circRNAs were detected and used to construct a lncRNA/circRNA-miRNA-mRNA-pathway regulatory network.ConclusionThis study identified candidate genes and the regulatory networks underlying the therapeutic effects of GA on CC using GA data mining methods, thus establishing a theoretical basis for targeted therapy of CC.…”
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    π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing by Xiang Zhang, Tianze Ling, Zhi Jin, Sheng Xu, Zhiqiang Gao, Boyan Sun, Zijie Qiu, Jiaqi Wei, Nanqing Dong, Guangshuai Wang, Guibin Wang, Leyuan Li, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Fuchu He, Wanli Ouyang, Cheng Chang, Siqi Sun

    Published 2025-01-01
    “…Additionally, it excels in phosphopeptide mining and detecting low-abundance post-translational modifications (PTMs), marking a substantial advance in peptide sequencing with broad potential in biological research.…”
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    The Genetic Puzzle of the Stress-Induced Cardiomyopathy (Takotsubo Syndrome): State of Art and Future Perspectives by Domenico Lio, Letizia Scola, Giusi Irma Forte, Loredana Vaccarino, Manuela Bova, Patrizia Di Gangi, Giorgia Santini, Daniela di Lisi, Cristina Madaudo, Giuseppina Novo

    Published 2025-06-01
    “…We conclude that innovative approaches based on data-mining algorithms and nonlinear analytic methods applied to large patient datasets may be instrumental in resolving the genetic complexity of TS.…”
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    Use of a Silicon Microneedle Chip-Based Device for the Extraction and Subsequent Analysis of Dermal Interstitial Fluid in Heart Failure Patients by Markus Renlund, Laurenz Kopp Fernandes, Pelle Rangsten, Mikael Hillmering, Sara Mosel, Ziad Issa, Volkmar Falk, Alexander Meyer, Felix Schoenrath

    Published 2025-04-01
    “…Hollow microneedles represent one of the most promising platforms for access to pure dISF, enabling the mining of biomarker information. <b>Methods and Results:</b> Here, a microneedle-based method for dISF sampling is presented, where a combination of hollow microneedles and sub-pressure is used to optimize both penetration depth in skin and dermal interstitial fluid sampling volumes, and the design of an open, prospective, exploratory, and interventional study to examine the detectability of inflammatory and cardiocirculatory biomarkers in the dISF of heart failure patients, the relationship between dISF-derived and blood-derived biomarker levels, and their kinetics during a cardiopulmonary exercise test (CPET) is introduced. …”
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    Exploring the Metabolism of Flubrotizolam, a Potent Thieno-Triazolo Diazepine, Using Human Hepatocytes and High-Resolution Mass Spectrometry by Prince Sellase Gameli, Johannes Kutzler, Diletta Berardinelli, Jeremy Carlier, Volker Auwärter, Francesco Paolo Busardò

    Published 2024-09-01
    “…The identification of markers of consumption for this designer benzodiazepine is essential in analytical toxicology, especially in clinical and forensic cases. Methods: We therefore aimed to identify biomarkers of flubrotizolam uptake in ten-donor-pooled human hepatocytes, applying liquid chromatography high-resolution mass spectrometry and software-aided data mining supported by in silico prediction tools. …”
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    SNP rs9364554 Modulates Androgen Receptor Binding and Drug Response in Prostate Cancer by Yuqian Yan, Lei Shi, Tao Ma, Liguo Wang, Haojie Huang

    Published 2025-01-01
    “…We verified onco-mining findings in prostate cancer cell lines using quantitative PCR and Western blots. …”
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