GSE96058 information. by Sepideh Zununi Vahed (9861298)

The performance of classifiers. by Sepideh Zununi Vahed (9861298)

Table_1_A Novel Network Pharmacology Strategy to Decode Mechanism of Lang Chuang Wan in Treating Systemic Lupus Erythematosus.xlsx by Yao Gao (1420339)

“…Most of these models focus on the 2D/3D similarity of chemical structure of drug components and ignore the functional optimization space based on relationship between pathogenetic genes and drug targets. …”

Image_1_A Novel Network Pharmacology Strategy to Decode Mechanism of Lang Chuang Wan in Treating Systemic Lupus Erythematosus.tif by Yao Gao (1420339)

“…Most of these models focus on the 2D/3D similarity of chemical structure of drug components and ignore the functional optimization space based on relationship between pathogenetic genes and drug targets. …”

Table_3_Characterization of spleen and lymph node cell types via CITE-seq and machine learning methods.XLSX by Hao Li (31608)

“…Therefore, in this study, we employed a series of machine learning algorithms to computationally analyze the cell types of spleen and lymph based on single-cell CITE-seq sequencing data. …”

Table_1_Characterization of spleen and lymph node cell types via CITE-seq and machine learning methods.XLSX by Hao Li (31608)

“…Therefore, in this study, we employed a series of machine learning algorithms to computationally analyze the cell types of spleen and lymph based on single-cell CITE-seq sequencing data. …”

Table_2_Characterization of spleen and lymph node cell types via CITE-seq and machine learning methods.XLSX by Hao Li (31608)

“…Therefore, in this study, we employed a series of machine learning algorithms to computationally analyze the cell types of spleen and lymph based on single-cell CITE-seq sequencing data. …”

Immune microenvironment landscape in HCC patients with different risk score. by Qian Feng (302178)

DataSheet_1_Multi-Parametric MRI-Based Radiomics Models for Predicting Molecular Subtype and Androgen Receptor Expression in Breast Cancer.docx by Yuhong Huang (115702)

Data Sheet 1_Multi-omics analysis and metastasis risk factor prediction in N1b stage PTMC: insights into immune infiltration and therapeutic implications.docx by Hao Dai (4277254)

Table_2_A novel prognostic signature related to programmed cell death in osteosarcoma.xlsx by Yu-Chen Jiang (11264151)

“…This study aims to enhance the accuracy of OS prognosis assessment by identifying PCD-related prognostic risk genes, constructing a PCD-based OS prognostic risk model, and characterizing the function of genes within this model.…”

Table_1_A novel prognostic signature related to programmed cell death in osteosarcoma.xlsx by Yu-Chen Jiang (11264151)

“…This study aims to enhance the accuracy of OS prognosis assessment by identifying PCD-related prognostic risk genes, constructing a PCD-based OS prognostic risk model, and characterizing the function of genes within this model.…”

Table4_Identification of crosstalk genes and immune characteristics between Alzheimer’s disease and atherosclerosis.xls by Wenhao An (19366816)

“…LASSO analysis helped us identify three genes (C1QA, MT1M, and RAMP1) as optimal diagnostic CGs for AD and AS. …”

Table2_Identification of crosstalk genes and immune characteristics between Alzheimer’s disease and atherosclerosis.xls by Wenhao An (19366816)

“…LASSO analysis helped us identify three genes (C1QA, MT1M, and RAMP1) as optimal diagnostic CGs for AD and AS. …”

Table3_Identification of crosstalk genes and immune characteristics between Alzheimer’s disease and atherosclerosis.xls by Wenhao An (19366816)

“…LASSO analysis helped us identify three genes (C1QA, MT1M, and RAMP1) as optimal diagnostic CGs for AD and AS. …”

Table1_Identification of crosstalk genes and immune characteristics between Alzheimer’s disease and atherosclerosis.xls by Wenhao An (19366816)

“…LASSO analysis helped us identify three genes (C1QA, MT1M, and RAMP1) as optimal diagnostic CGs for AD and AS. …”

Steps in the extraction of 14 coordinates from the CT slices for the curved MPR. by Linus Woitke (22783534)

Table2_Integrated analysis of genes shared between type 2 diabetes mellitus and osteoporosis.XLSX by Fangyu Li (404719)

“…Similarly, the level of VNN1 in the sera of patients with T2DM, OP, and T2DM and OP was higher than that in the healthy group.</p>Conclusion<p>Based on the WGCNA and LASSO algorithms, we identified genes and pathways that were shared between T2DM and OP. …”

Table1_Integrated analysis of genes shared between type 2 diabetes mellitus and osteoporosis.XLSX by Fangyu Li (404719)

“…Similarly, the level of VNN1 in the sera of patients with T2DM, OP, and T2DM and OP was higher than that in the healthy group.</p>Conclusion<p>Based on the WGCNA and LASSO algorithms, we identified genes and pathways that were shared between T2DM and OP. …”

Image2_Integrated analysis of genes shared between type 2 diabetes mellitus and osteoporosis.TIF by Fangyu Li (404719)

“…Similarly, the level of VNN1 in the sera of patients with T2DM, OP, and T2DM and OP was higher than that in the healthy group.</p>Conclusion<p>Based on the WGCNA and LASSO algorithms, we identified genes and pathways that were shared between T2DM and OP. …”