Selected features via our feature selection algorithm for baseline vs. VNS at 10 Hz (first scenario) and organized in a descending sequence of significance, as established by the R... by Mahmoud Zeydabadinezhad (12289570)

Supplementary Data: Biodiversity and Energy System Planning - Queensland 2025 by Andrew Rogers (17623239)

Table3_Research on temporal and spatial evolution of land use and landscape pattern in Anshan City based on GEE.XLS by Yanhua Fu (13521214)

Table2_Research on temporal and spatial evolution of land use and landscape pattern in Anshan City based on GEE.xls by Yanhua Fu (13521214)

Table1_Research on temporal and spatial evolution of land use and landscape pattern in Anshan City based on GEE.XLS by Yanhua Fu (13521214)

DataSheet_1_A computer vision approach for analyzing label free leukocyte trafficking dynamics on a microvascular mimetic.docx by S. Danial Ahmad (14835916)

“…Here we describe a machine learning pipeline that uses a semantic segmentation algorithm and classification script that, in combination, is capable of automated and label-free leukocyte trafficking analysis in a coculture mimetic. …”

Table_6_Identification of Key Genes With Differential Correlations in Lung Adenocarcinoma.XLS by You Zhou (129411)

“…Accumulating evidence has witnessed that understanding gene regulatory networks as well as their changing processes was helpful in identifying core genes which acted as master regulators during carcinogenesis. …”

Table_4_Identification of Key Genes With Differential Correlations in Lung Adenocarcinoma.XLS by You Zhou (129411)

“…Accumulating evidence has witnessed that understanding gene regulatory networks as well as their changing processes was helpful in identifying core genes which acted as master regulators during carcinogenesis. …”

Table_3_Identification of Key Genes With Differential Correlations in Lung Adenocarcinoma.XLSX by You Zhou (129411)

“…Accumulating evidence has witnessed that understanding gene regulatory networks as well as their changing processes was helpful in identifying core genes which acted as master regulators during carcinogenesis. …”

Image_1_Identification of Key Genes With Differential Correlations in Lung Adenocarcinoma.TIF by You Zhou (129411)

“…Accumulating evidence has witnessed that understanding gene regulatory networks as well as their changing processes was helpful in identifying core genes which acted as master regulators during carcinogenesis. …”

Table_1_Identification of Key Genes With Differential Correlations in Lung Adenocarcinoma.XLS by You Zhou (129411)

“…Accumulating evidence has witnessed that understanding gene regulatory networks as well as their changing processes was helpful in identifying core genes which acted as master regulators during carcinogenesis. …”

Table_5_Identification of Key Genes With Differential Correlations in Lung Adenocarcinoma.XLS by You Zhou (129411)

“…Accumulating evidence has witnessed that understanding gene regulatory networks as well as their changing processes was helpful in identifying core genes which acted as master regulators during carcinogenesis. …”

Image_2_Identification of Key Genes With Differential Correlations in Lung Adenocarcinoma.TIF by You Zhou (129411)

“…Accumulating evidence has witnessed that understanding gene regulatory networks as well as their changing processes was helpful in identifying core genes which acted as master regulators during carcinogenesis. …”

Table_2_Identification of Key Genes With Differential Correlations in Lung Adenocarcinoma.XLS by You Zhou (129411)

“…Accumulating evidence has witnessed that understanding gene regulatory networks as well as their changing processes was helpful in identifying core genes which acted as master regulators during carcinogenesis. …”