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disease ppi protein protein interactions qzs qianzheng san rs spearman rank correlation coefficient  (Tianma Microelectronics Co)

 
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    Tianma Microelectronics Co disease ppi protein protein interactions qzs qianzheng san rs spearman rank correlation coefficient
    Disease Ppi Protein Protein Interactions Qzs Qianzheng San Rs Spearman Rank Correlation Coefficient, supplied by Tianma Microelectronics Co, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/correlation+coefficient/coefficient+correlation+disease+interactions+ppi+protein+protein+qianzheng+qzs+rank+rs+san+spearman/pm41918015-292-28-53
    Average 86 stars, based on 1 article reviews
    disease ppi protein protein interactions qzs qianzheng san rs spearman rank correlation coefficient - by Bioz Stars, 2026-09
    86/100 stars

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    Protein-Protein interactions:

    Article Title: TCMNet: an AI-driven strategy for optimizing traditional Chinese medicine.
    Article Snippet: .. Abbreviations AI Artificial intelligence BFS Breadth-First Search CNKI China national knowledge infrastructure CTD Comparative Toxicogenomics Database DBYW Dabuyin Wan LLM Large language model LWDH Liuwei Dihuang PD Parkinson’s disease PPI Protein protein interactions QZS Qianzheng San Rs Spearman rank correlation coefficient SMILES Simplified molecular input line entry system TCM Traditional Chinese medicine TGD Tianma Gouteng Decoction TTD Therapeutic Target Database Supplementary Information The online version contains supplementary material available at https:// doi. org/ 10. ..



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    Metabo-time confidently represented individualized normalization of host systemic oxidative stress and immune response during COVID-19 recovery, better than physical days since hospitalization (A) The normalization of serum reactive oxygen species levels during recovery was better captured by metabo-time than physical days since hospitalization, as evidenced by the higher R 2 statistic correlating ROS levels with metabo-time than days since hospitalization. This was quantitatively tested by joint linear modeling of ROS on both physical time and metabo-time. (B) Quantification and statistical analysis; ( n = 34), where the conditional regression coefficient (i.e., association) of physical time with ROS was null. Still, the effect of metabo-time remained highly significant, suggesting that metabo-time can fully replace physical time to characterize the individualized recovery of ROS levels. (C) Longitudinal correlation of host serum cytokine levels versus metabo-time and physical time yielded consistent findings across cytokines. (D) Cytokines identified as statistically significantly correlated with metabo-time (i.e., “normalizing” during COVID-19 recovery) were consistent with previous observations ( n = 36). , ,

    Journal: iScience

    Article Title: A quantitative metabolic signature of host response during SARS-CoV-2 infection and recovery

    doi: 10.1016/j.isci.2026.115390

    Figure Lengend Snippet: Metabo-time confidently represented individualized normalization of host systemic oxidative stress and immune response during COVID-19 recovery, better than physical days since hospitalization (A) The normalization of serum reactive oxygen species levels during recovery was better captured by metabo-time than physical days since hospitalization, as evidenced by the higher R 2 statistic correlating ROS levels with metabo-time than days since hospitalization. This was quantitatively tested by joint linear modeling of ROS on both physical time and metabo-time. (B) Quantification and statistical analysis; ( n = 34), where the conditional regression coefficient (i.e., association) of physical time with ROS was null. Still, the effect of metabo-time remained highly significant, suggesting that metabo-time can fully replace physical time to characterize the individualized recovery of ROS levels. (C) Longitudinal correlation of host serum cytokine levels versus metabo-time and physical time yielded consistent findings across cytokines. (D) Cytokines identified as statistically significantly correlated with metabo-time (i.e., “normalizing” during COVID-19 recovery) were consistent with previous observations ( n = 36). , ,

    Article Snippet: Correlation between Metabo-time and log-transformed CRP values was assessed using Spearman’s rank correlation coefficient.

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    Correlation coefficient (Matel’s and Pearson’s correlation of the observations).

    Journal: Scientific Reports

    Article Title: Evaluating the growth and water use efficiency of chili pepper ‘Tanjung’, ‘Unpad’, and ‘Osaka’ using SFM1 sap flow in agro-environment

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    Figure Lengend Snippet: Correlation coefficient (Matel’s and Pearson’s correlation of the observations).

    Article Snippet: Fig. 5 Correlation coefficient (Matel’s and Pearson’s correlation of the observations).

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