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

“…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”

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

“…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”

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

“…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”

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

“…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”

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

“…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”

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

“…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”

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

“…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”

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

“…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”

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

“…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”

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

“…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”

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

“…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”

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

“…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”

PIK3C3 is not involved in the formation of PtdIns(3)P at the inner membrane of protrusions. by Steven J. Rolland (21376879)

Characteristics of children in the study. by Shijie Yu (511369)

“…</p><p>Conclusions:</p><p>This study found a significant association between myopia and worse HRQOL in primary and secondary school children. …”

PIK3C3 is required for efficient cell-to-cell spread <i>in vivo.</i> by Steven J. Rolland (21376879)

Phenotype analysis of PbPP6-GFP parasites. by Yonghui Feng (12227596)

Sequence composition analysis identifies distinct A + U and C + G base frequencies within subregions of mRNA transcripts – with effects on protein coding potential. by Benjamin S. Pickard (21276556)

Frequency trajectories of iSNVs that fluctuated (Top) and their positions on the genome (Bottom) (patients A-I). by Lele Zhao (532080)

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML by Ayush Garg (21090944)

“…The important findings of our studies are as follows: (i) there is no effect of threshold optimization on ranking metrics such as AUC and AUPR, but AUC and AUPR get affected by class-weighting and SMOTTomek; (ii) for ML methods RF and SVM, significant percentage improvement up to 375, 33.33, and 450 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy, which are suitable for performance evaluation of imbalanced data sets; (iii) for AutoML libraries AutoGluon-Tabular and H2O AutoML, significant percentage improvement up to 383.33, 37.25, and 533.33 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy; (iv) the general pattern of percentage improvement in balanced accuracy is that the percentage improvement increases when the class ratio is systematically decreased from 0.5 to 0.1; in the case of F1 score and MCC, maximum improvement is achieved at the class ratio of 0.3; (v) for both ML and AutoML with balancing, it is observed that any individual class-balancing technique does not outperform all other methods on a significantly higher number of data sets based on F1 score; (vi) the three external balancing techniques combined outperformed the internal balancing methods of the ML and AutoML; (vii) AutoML tools perform as good as the ML models and in some cases perform even better for handling imbalanced classification when applied with imbalance handling techniques. …”

Scatter plots of the linear regression for the relationship between the duration of the vegetative phase and the average mass of single inflorescences. by Torsten Schober (20485754)