Image 1_Integration of bulk and single-cell transcriptomic data reveals a novel signature related to liver metastasis and basement membrane in pancreatic cancer.tif by Dongkai Zhou (573504)

“…The prognostic model was established using machine learning algorithms and multivariate Cox regression analyses. …”

Image 3_Integration of bulk and single-cell transcriptomic data reveals a novel signature related to liver metastasis and basement membrane in pancreatic cancer.tif by Dongkai Zhou (573504)

“…The prognostic model was established using machine learning algorithms and multivariate Cox regression analyses. …”

Image 4_Integration of bulk and single-cell transcriptomic data reveals a novel signature related to liver metastasis and basement membrane in pancreatic cancer.tif by Dongkai Zhou (573504)

“…The prognostic model was established using machine learning algorithms and multivariate Cox regression analyses. …”

Image 7_Integration of bulk and single-cell transcriptomic data reveals a novel signature related to liver metastasis and basement membrane in pancreatic cancer.tif by Dongkai Zhou (573504)

“…The prognostic model was established using machine learning algorithms and multivariate Cox regression analyses. …”

Image 6_Integration of bulk and single-cell transcriptomic data reveals a novel signature related to liver metastasis and basement membrane in pancreatic cancer.png by Dongkai Zhou (573504)

“…The prognostic model was established using machine learning algorithms and multivariate Cox regression analyses. …”

Image 9_Integration of bulk and single-cell transcriptomic data reveals a novel signature related to liver metastasis and basement membrane in pancreatic cancer.tif by Dongkai Zhou (573504)

“…The prognostic model was established using machine learning algorithms and multivariate Cox regression analyses. …”

Table 1_Integration of bulk and single-cell transcriptomic data reveals a novel signature related to liver metastasis and basement membrane in pancreatic cancer.docx by Dongkai Zhou (573504)

“…The prognostic model was established using machine learning algorithms and multivariate Cox regression analyses. …”

Table 2_Integration of bulk and single-cell transcriptomic data reveals a novel signature related to liver metastasis and basement membrane in pancreatic cancer.docx by Dongkai Zhou (573504)

“…The prognostic model was established using machine learning algorithms and multivariate Cox regression analyses. …”

Image 11_Integration of bulk and single-cell transcriptomic data reveals a novel signature related to liver metastasis and basement membrane in pancreatic cancer.tif by Dongkai Zhou (573504)

“…The prognostic model was established using machine learning algorithms and multivariate Cox regression analyses. …”

Image 8_Integration of bulk and single-cell transcriptomic data reveals a novel signature related to liver metastasis and basement membrane in pancreatic cancer.tif by Dongkai Zhou (573504)

“…The prognostic model was established using machine learning algorithms and multivariate Cox regression analyses. …”

Image 5_Integration of bulk and single-cell transcriptomic data reveals a novel signature related to liver metastasis and basement membrane in pancreatic cancer.tif by Dongkai Zhou (573504)

“…The prognostic model was established using machine learning algorithms and multivariate Cox regression analyses. …”

Image 10_Integration of bulk and single-cell transcriptomic data reveals a novel signature related to liver metastasis and basement membrane in pancreatic cancer.tif by Dongkai Zhou (573504)

“…The prognostic model was established using machine learning algorithms and multivariate Cox regression analyses. …”

Beyond Borders: The Impact of Transnational News Flows on Public Opinion and Geopolitical Narratives by Asmita Roy (21585298)

“…Ultimately, by offering practical insights into the unseen processes influencing global information flows, our research promotes open knowledge.…”

Ensemble learning approach for accurate virtual borehole prediction in 3D geological modeling by Bingning Guo (19800407)

“…<p>The use of virtual drilling technology can effectively accelerate the establishment process of 3D geological models and improve grid structure and visual performance. …”

Supplementary file 1_How perceived discrimination and trust dynamics influence social integration in acculturation and reacculturation: the case of Chinese international student re... by Tam-Tri Le (21374624)

“…</p>Analysis<p>Employing Bayesian analyses aided by Markov Chain Monte Carlo (MCMC) algorithms on survey data of 1,014 Chinese international student returnees, the study examines the multi-layered influences of perceived discrimination and trust (both generalized and personalized) on social integration.…”

Table 4_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx by Manyi Zheng (22221913)

“…</p>Methods<p>Our study utilized the Gene Expression Omnibus (GEO) data for SCI-related MDEG identification. Key hub genes were screened using multiple machine learning(ML) algorithms. …”

Table 1_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx by Manyi Zheng (22221913)

“…</p>Methods<p>Our study utilized the Gene Expression Omnibus (GEO) data for SCI-related MDEG identification. Key hub genes were screened using multiple machine learning(ML) algorithms. …”

Supplementary file 1_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx by Manyi Zheng (22221913)

“…</p>Methods<p>Our study utilized the Gene Expression Omnibus (GEO) data for SCI-related MDEG identification. Key hub genes were screened using multiple machine learning(ML) algorithms. …”

Table 2_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx by Manyi Zheng (22221913)

“…</p>Methods<p>Our study utilized the Gene Expression Omnibus (GEO) data for SCI-related MDEG identification. Key hub genes were screened using multiple machine learning(ML) algorithms. …”

Supplementary file 2_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx by Manyi Zheng (22221913)

“…</p>Methods<p>Our study utilized the Gene Expression Omnibus (GEO) data for SCI-related MDEG identification. Key hub genes were screened using multiple machine learning(ML) algorithms. …”