Table 2_A novel prognostic signature identifies MFAP4 as a tumor suppressor linking the tumor microenvironment to PI3K/AKT signaling in triple-negative breast cancer.xlsx حسب Xiaoqin Yu (3918377)

"…The model’s association with TME characteristics was assessed using ESTIMATE algorithm and immune infiltration analyses. The biological functions of the key gene, Microfibril Associated Protein 4 (MFAP4), were investigated in vitro via proliferation and migration assays. …"

Data Sheet 1_A novel prognostic signature identifies MFAP4 as a tumor suppressor linking the tumor microenvironment to PI3K/AKT signaling in triple-negative breast cancer.pdf حسب Xiaoqin Yu (3918377)

"…The model’s association with TME characteristics was assessed using ESTIMATE algorithm and immune infiltration analyses. The biological functions of the key gene, Microfibril Associated Protein 4 (MFAP4), were investigated in vitro via proliferation and migration assays. …"

Table 1_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.xlsx حسب 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 حسب 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 حسب 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 حسب 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 حسب 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 حسب 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 حسب 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_Targeting a distinct binding pocket in the pregnane X receptor with natural agonist TRLW-2 ameliorates murine ulcerative colitis.tif حسب Shangrui Rao (18189241)

"…</p>Methods<p>A distinct binding pocket (Pocket 1–5) within the PXR ligand-binding domain was identified using a multi-algorithm computational approach (SiteMap, Fpocket, Prank, CASTpFold). …"

Image 2_Targeting a distinct binding pocket in the pregnane X receptor with natural agonist TRLW-2 ameliorates murine ulcerative colitis.tif حسب Shangrui Rao (18189241)

"…</p>Methods<p>A distinct binding pocket (Pocket 1–5) within the PXR ligand-binding domain was identified using a multi-algorithm computational approach (SiteMap, Fpocket, Prank, CASTpFold). …"

Image 3_Targeting a distinct binding pocket in the pregnane X receptor with natural agonist TRLW-2 ameliorates murine ulcerative colitis.tif حسب Shangrui Rao (18189241)

"…</p>Methods<p>A distinct binding pocket (Pocket 1–5) within the PXR ligand-binding domain was identified using a multi-algorithm computational approach (SiteMap, Fpocket, Prank, CASTpFold). …"

Image 4_Targeting a distinct binding pocket in the pregnane X receptor with natural agonist TRLW-2 ameliorates murine ulcerative colitis.tif حسب Shangrui Rao (18189241)

"…</p>Methods<p>A distinct binding pocket (Pocket 1–5) within the PXR ligand-binding domain was identified using a multi-algorithm computational approach (SiteMap, Fpocket, Prank, CASTpFold). …"

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

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

Data Sheet 1_TGM2 regulated by transcription factor NR3C1 drives p38 MAPK-mediated tumor progression and immune evasion in lung squamous cell carcinoma.zip حسب Chunlong Lin (18931437)

"…Key genes were screened via random forest algorithm. Functional validation was performed in NCI-H520 and SK-MES-1 cell lines. …"

Supporting data for "Machine learning based prognosis prediction of intracerebral hemorrhage outcome". حسب Eunhye Yang (17853260)

"…The resulting prognosis prediction ML model, based on Random Forest algorithm, achieved an overall accuracy of 0.81, with AUROCs of 0.93, 0.84 and 0.95 for good, poor, and death outcomes, respectively. …"

University of Arizona authors' scholarly works published and cited works year 2022 from OpenAlex حسب Yan Han (11106597)

"…</li><li><b>Data Retrieval:</b> The process involves using the oa_fetch function from the openalexR package with the entity="works" parameter and specifying the institutions.ror.…"

University of Arizona authors' scholarly works published and cited works year 2023 from OpenAlex حسب Yan Han (11106597)

"…</li></ul><p dir="ltr">The second dataset "works_cited", refers to <b>scholarly works cited by the publications within the </b><b>works_published</b><b> dataset</b>. …"

University of Arizona authors' scholarly works published and cited works year 2021 from OpenAlex حسب Yan Han (11106597)

"…</li><li><b>Data Retrieval:</b> The process involves using the oa_fetch function from the openalexR package with the entity="works" parameter and specifying the institutions.ror.…"

University of Arizona authors' scholarly works published and cited works year 2024 from OpenAlex حسب Yan Han (11106597)

"…</li><li><b>Data Retrieval:</b> The process involves using the oa_fetch function from the openalexR package with the entity="works" parameter and specifying the institutions.ror.…"