Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

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Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

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Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

Subjects:

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

Subjects:

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

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Biological and clinical significance of the iSoMAs genes. by Hua Tan (424523)

Species response curves (GLM) to Speed (m/s) (only significant relations are depicted). by Joseph O. Sunday (22258258)

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Proteins significantly modulated by <i>L. donovani</i> infection in dTHP-1 cells. by Harsimran Kaur Brar (8698200)

Visually confirming vRNA level is correlated with select immune gene expression without significantly increasing expression in the total population. by Emily A. Fitzmeyer (15332586)

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AUC of various models to predict imeglimin efficacy for liver function evaluated by ROC curves. by Naruyoshi Gyoutoku (22537831)

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Logistic regression analysis to predict the efficacy for liver function. by Naruyoshi Gyoutoku (22537831)

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Comparison in baseline variables between efficacy group and non-efficacy group. by Naruyoshi Gyoutoku (22537831)

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Comparison of ALT (A), AST (B), and Fib-4 index (C) before and after imeglimin treatment in ALT ≥ 25 IU/L and ALT < 25IU/L groups. by Naruyoshi Gyoutoku (22537831)

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Clinical characteristics at baseline and at the end of the study. by Naruyoshi Gyoutoku (22537831)

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The (A) logistic regression model (LRM) and (B) random forest model (RFM) with only conservation scores as independent variables (orange, yellow) show decreased model fitting metri... by Bushra Haque (20513785)

EF-24 treatment significantly reduces cell viability in leukemia cell lines. by Ajeet P. Singh (22298432)

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Top three most significant gene sets identified in GSEA of the GEO Cohort. by Peng Zhang (2071)

Selection of genes by level of information for the gene. by Zeinab Mousavi (20521925)

The significantly enriched pathways in the high group compared with the low group. by Bo Zhao (13553)

Scoring of Disease Activity Index (DAI). by Abdallah Tageldein Mansour (21158819)

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