Image 3_Leveraging the integration of bioinformatics and machine learning to uncover common biomarkers and molecular pathways underlying diabetes and nephrolithiasis.tif حسب Xudong Shen (205653)

"…</p>Methods<p>We conducted bulk transcriptome differential analysis using our sequencing data, in conjunction with the AS dataset (GSE231569). …"

Image 1_Leveraging the integration of bioinformatics and machine learning to uncover common biomarkers and molecular pathways underlying diabetes and nephrolithiasis.tif حسب Xudong Shen (205653)

"…</p>Methods<p>We conducted bulk transcriptome differential analysis using our sequencing data, in conjunction with the AS dataset (GSE231569). …"

Image 4_Leveraging the integration of bioinformatics and machine learning to uncover common biomarkers and molecular pathways underlying diabetes and nephrolithiasis.tif حسب Xudong Shen (205653)

"…</p>Methods<p>We conducted bulk transcriptome differential analysis using our sequencing data, in conjunction with the AS dataset (GSE231569). …"

Table 1_Leveraging the integration of bioinformatics and machine learning to uncover common biomarkers and molecular pathways underlying diabetes and nephrolithiasis.docx حسب Xudong Shen (205653)

"…</p>Methods<p>We conducted bulk transcriptome differential analysis using our sequencing data, in conjunction with the AS dataset (GSE231569). …"

Image 5_Leveraging the integration of bioinformatics and machine learning to uncover common biomarkers and molecular pathways underlying diabetes and nephrolithiasis.tif حسب Xudong Shen (205653)

"…</p>Methods<p>We conducted bulk transcriptome differential analysis using our sequencing data, in conjunction with the AS dataset (GSE231569). …"

Figures and Tables حسب Divya C D (22799186)

"…Robots Comput. Vision XXXI: Algorithms and Techniques, Burlingame, CA, USA, Jan. 23–24, 2012.…"

CANDID-II Dataset حسب Sijing Feng (10187216)

"…This dataset can be used for training and testing for deep learning algorithms for adult chest x rays.</p><p dir="ltr">Unfortunately, since Feb 2024, the New Zealand government is changing the data governance on datasets used for AI development and this affects the process of how the CANDID II dataset is to be accessed by the external users. …"

Table 3_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.xlsx حسب Hanlin Yu (17776399)

"…</p>Methods<p>We analyzed transcriptome data from the GEO dataset to identify differentially expressed genes (DEGs). …"

Table 1_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.xlsx حسب Hanlin Yu (17776399)

"…</p>Methods<p>We analyzed transcriptome data from the GEO dataset to identify differentially expressed genes (DEGs). …"

Table 4_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.xlsx حسب Hanlin Yu (17776399)

"…</p>Methods<p>We analyzed transcriptome data from the GEO dataset to identify differentially expressed genes (DEGs). …"

Table 2_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.xlsx حسب Hanlin Yu (17776399)

"…</p>Methods<p>We analyzed transcriptome data from the GEO dataset to identify differentially expressed genes (DEGs). …"

Image 1_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.tif حسب Hanlin Yu (17776399)

"…</p>Methods<p>We analyzed transcriptome data from the GEO dataset to identify differentially expressed genes (DEGs). …"

Image 4_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.tif حسب Hanlin Yu (17776399)

"…</p>Methods<p>We analyzed transcriptome data from the GEO dataset to identify differentially expressed genes (DEGs). …"

Image 2_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.tiff حسب Hanlin Yu (17776399)

"…</p>Methods<p>We analyzed transcriptome data from the GEO dataset to identify differentially expressed genes (DEGs). …"

Image 3_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.tiff حسب Hanlin Yu (17776399)

"…</p>Methods<p>We analyzed transcriptome data from the GEO dataset to identify differentially expressed genes (DEGs). …"

Table 2_Artificial intelligence in vaccine research and development: an umbrella review.docx حسب Rabie Adel El Arab (14113425)

"…Nonetheless, persistent challenges emerged—data heterogeneity, algorithmic bias, limited regulatory frameworks, and ethical concerns over transparency and equity.…"

Table 3_Artificial intelligence in vaccine research and development: an umbrella review.docx حسب Rabie Adel El Arab (14113425)

"…Nonetheless, persistent challenges emerged—data heterogeneity, algorithmic bias, limited regulatory frameworks, and ethical concerns over transparency and equity.…"

Table 1_Artificial intelligence in vaccine research and development: an umbrella review.docx حسب Rabie Adel El Arab (14113425)

"…Nonetheless, persistent challenges emerged—data heterogeneity, algorithmic bias, limited regulatory frameworks, and ethical concerns over transparency and equity.…"

Interoperability of scientific metadata databases: a disambiguation methodology for bibliometric sources created by national research entities حسب Alysson Mazzoni (22550488)

"…</p><p dir="ltr">The results allowed the creation of matching tables linking OpenAlex identifiers to research entities from the referenced local databases and to calculate the accuracy of internal disambiguation algorithms. …"

CANDID-III Dataset حسب Sijing Feng (10187216)

"…This dataset can be used for training and testing for deep learning algorithms for adult chest x rays.</p><p dir="ltr">Unfortunately, since Feb 2024, the New Zealand government is changing the data governance on datasets used for AI development and this affects the process of how the CANDID III dataset is to be accessed by the external users. …"