Fiscal Stress and Monetary Policy Stance in Oil-Exporting Countries
In: CAEPR WORKING PAPER SERIES 2020-006
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In: CAEPR WORKING PAPER SERIES 2020-006
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In: Environmental science and pollution research: ESPR, Volume 24, Issue 35, p. 26919-26926
ISSN: 1614-7499
In: Public health genomics, Volume 25, Issue 5-6, p. 125-133
ISSN: 1662-8063
<b><i>Background:</i></b> Lung cancer is one of the deadliest cancers, early diagnosis of which can efficiently enhance patient's survival. We aimed to screening out the serum miRNAs as diagnostic biomarkers for patients with lung cancer. <b><i>Methods:</i></b> A total of 416 remarkably differentially expressed miRNAs were acquired using the limma package, and next feature ranking was derived by the minimal-redundancy-maximal-relevance method. An incremental feature selection algorithm of a random forest (RF) classifier was utilized to choose the top 5 miRNA combination with the optimum predictive performance. The performance of the RF classifier of top 5 miRNAs was analyzed using the receiver operator characteristic (ROC) curve. Afterward, the classification effect of the 5-miRNA combination was validated through principal component analysis and hierarchical clustering analysis. Analysis of top 5 miRNA expressions between lung cancer patients and normal people was performed based on GSE137140 dataset, and their expression was validated by qPCR. The hierarchical clustering analysis was used to analyze the similarity of 5 miRNAs expression profiles. ROC analysis was undertaken on each miRNA. <b><i>Results:</i></b> We acquired top 5 miRNAs finally, with the Matthews correlation coefficient value as 0.988 and the area under the curve (AUC) value as 0.996. The 5 feature miRNAs were capable of distinguishing most cancer patients and normal people. Furthermore, except for the lowly expressed miR-6875-5p in lung cancer tissue, the other 4 miRNAs all expressed highly in cancer patients. Performance analysis revealed that their AUC values were 0.92, 0.96, 0.94, 0.95, and 0.93, respectively. <b><i>Conclusion:</i></b> By and large, the 5 feature miRNAs screened here were anticipated to be effective biomarkers for lung cancer.
In: Materials and design, Volume 207, p. 109854
ISSN: 1873-4197
In: Alcohol and alcoholism: the international journal of the Medical Council on Alcoholism (MCA) and the journal of the European Society for Biomedical Research on Alcoholism (ESBRA), Volume 49, Issue 5, p. 515-519
ISSN: 1464-3502
In: The Chinese economy: translations and studies, Volume 31, Issue 6, p. 48-53
ISSN: 1558-0954
In: Computers and electronics in agriculture: COMPAG online ; an international journal, Volume 220, p. 108846
ISSN: 1872-7107
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Volume 272, p. 116053
ISSN: 1090-2414
In: Materials and design, Volume 128, p. 47-55
ISSN: 1873-4197
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Volume 283, p. 116791
ISSN: 1090-2414
In: The aging male: the official journal of the International Society for the Study of the Aging Male, Volume 23, Issue 5, p. 854-859
ISSN: 1473-0790
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Volume 274, p. 116183
ISSN: 1090-2414
In: Defence Technology, Volume 26, p. 111-122
ISSN: 2214-9147