Image 7_MS4A7 based metabolic gene signature as a prognostic predictor in lung adenocarcinoma.jpeg by Yan Jiang (12139)

“…These macrophages exhibited distinct metabolic reprogramming and key immune functions, particularly in crosstalk with T cells and neutrophils.…”

Image 5_MS4A7 based metabolic gene signature as a prognostic predictor in lung adenocarcinoma.jpeg by Yan Jiang (12139)

“…These macrophages exhibited distinct metabolic reprogramming and key immune functions, particularly in crosstalk with T cells and neutrophils.…”

Additional data for the polyanion sodium cathode materials dataset by Martin Hoffmann Petersen (13626778)

“…All simulations are executed within the canonical (NVT) ensemble and a sample frequency was set to 1fs.…”

k-means based load estimation of domestic smart meter measurements by Meng Cheng (19655023)

“…The developed algorithm applies cluster centres - of previously clustered load profiles - and distance functions to estimate missing and future measurements. …”

Video 3_Characterize neuronal responses to natural movies in the mouse superior colliculus.avi by Ya-tang Li (20858759)

“…An unsupervised learning algorithm grouped recorded neurons into 16 clusters based on their response patterns. …”

Video 2_Characterize neuronal responses to natural movies in the mouse superior colliculus.mp4 by Ya-tang Li (20858759)

“…An unsupervised learning algorithm grouped recorded neurons into 16 clusters based on their response patterns. …”

Video 1_Characterize neuronal responses to natural movies in the mouse superior colliculus.avi by Ya-tang Li (20858759)

“…An unsupervised learning algorithm grouped recorded neurons into 16 clusters based on their response patterns. …”

Video 4_Characterize neuronal responses to natural movies in the mouse superior colliculus.avi by Ya-tang Li (20858759)

“…An unsupervised learning algorithm grouped recorded neurons into 16 clusters based on their response patterns. …”

Table 1_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.xlsx by Yao Yi (459571)

“…CIBERSORT analysis was used to characterize the composition of immune cells within complex tissues based on gene expression data, typically derived from bulk RNA sequencing or microarray datasets. …”

Image 1_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.tif by Yao Yi (459571)

“…CIBERSORT analysis was used to characterize the composition of immune cells within complex tissues based on gene expression data, typically derived from bulk RNA sequencing or microarray datasets. …”

Image 3_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.tif by Yao Yi (459571)

“…CIBERSORT analysis was used to characterize the composition of immune cells within complex tissues based on gene expression data, typically derived from bulk RNA sequencing or microarray datasets. …”

Image 2_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.tif by Yao Yi (459571)

“…CIBERSORT analysis was used to characterize the composition of immune cells within complex tissues based on gene expression data, typically derived from bulk RNA sequencing or microarray datasets. …”

Table 2_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.xlsx by Yao Yi (459571)

“…CIBERSORT analysis was used to characterize the composition of immune cells within complex tissues based on gene expression data, typically derived from bulk RNA sequencing or microarray datasets. …”

Table 3_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.xlsx by Yao Yi (459571)

“…CIBERSORT analysis was used to characterize the composition of immune cells within complex tissues based on gene expression data, typically derived from bulk RNA sequencing or microarray datasets. …”

Image 4_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.tif by Yao Yi (459571)

“…CIBERSORT analysis was used to characterize the composition of immune cells within complex tissues based on gene expression data, typically derived from bulk RNA sequencing or microarray datasets. …”

Oryza australiensis species-specific gene and protein candidates by Sabrina Morrison (19846869)

“…</p><p dir="ltr">The protein sequence data for both <i>O. australiensis</i> and <i>O. sativa</i> (Osativa323v7 protein file Phytozome). were filtered for the longest isomer and then analysed for orthologous and unique protein clusters within the O. australiensis genome using OrthoVenn3 (parameters: OrthoFinder algorithm, E-value: 1e-2, Inflation value:1.50) (Sun et al., 2023, Emms and Kelly, 2019). …”

Leadership at the Borders: Reimagining Organizational Development Amid Disrupted Context by Nawaf Al-Ghanem (17925863)

“…Digital infrastructures expand the capacity for cross-border collaboration yet expose organizations to vulnerabilities in cybersecurity, data ethics, and algorithmic inequality. Meanwhile, leadership within multicultural and transnational environments requires navigation across cultural and normative frontiers, demanding a shift from control to coordination, from authority to adaptability, and from hierarchy to networked influence.…”

Data Sheet 1_Feature selection and aggregation for antibiotic resistance GWAS in Mycobacterium tuberculosis: a comparative study.pdf by Kirill Reshetnikov (21562853)

“…In this study, we evaluated several such methods, namely, logistic regression with different regularization penalty functions, a recently introduced algorithm for solving the best-subset selection problem (ABESS) and “Hungry, Hungry SNPos” (HHS) a heuristic algorithm specifically developed to identify resistance-associated genetic variants in the presence of resistance co-occurrence. …”

Data Sheet 1_Unsupervised method for representation transfer from one brain to another.docx by Daiki Nakamura (20349885)

“…<p>Although the anatomical arrangement of brain regions and the functional structures within them are similar across individuals, the representation of neural information, such as recorded brain activity, varies among individuals owing to various factors. …”

Image 2_Single-cell sequencing reveals the role of aggrephagy-related patterns in tumor microenvironment, prognosis and immunotherapy in endometrial cancer.jpeg by Yuquan Yuan (10570747)

“…However, aggrephagy functions within the tumor microenvironment (TME) in endometrial cancer (EC) remain to be elucidated.…”