Image_2_Computed Tomography Imaging-Based Radiogenomics Analysis Reveals Hypoxia Patterns and Immunological Characteristics in Ovarian Cancer.tiff حسب Songwei Feng (11200268)

"…Finally, optimal radiogenomics biomarkers for predicting the risk status of patients were developed by machine learning algorithms.…"

Table_2_Computed Tomography Imaging-Based Radiogenomics Analysis Reveals Hypoxia Patterns and Immunological Characteristics in Ovarian Cancer.xlsx حسب Songwei Feng (11200268)

"…Finally, optimal radiogenomics biomarkers for predicting the risk status of patients were developed by machine learning algorithms.…"

Image_1_Computed Tomography Imaging-Based Radiogenomics Analysis Reveals Hypoxia Patterns and Immunological Characteristics in Ovarian Cancer.tiff حسب Songwei Feng (11200268)

"…Finally, optimal radiogenomics biomarkers for predicting the risk status of patients were developed by machine learning algorithms.…"

Image_4_Computed Tomography Imaging-Based Radiogenomics Analysis Reveals Hypoxia Patterns and Immunological Characteristics in Ovarian Cancer.tiff حسب Songwei Feng (11200268)

"…Finally, optimal radiogenomics biomarkers for predicting the risk status of patients were developed by machine learning algorithms.…"

Table_1_Computed Tomography Imaging-Based Radiogenomics Analysis Reveals Hypoxia Patterns and Immunological Characteristics in Ovarian Cancer.xlsx حسب Songwei Feng (11200268)

"…Finally, optimal radiogenomics biomarkers for predicting the risk status of patients were developed by machine learning algorithms.…"

Image_3_Computed Tomography Imaging-Based Radiogenomics Analysis Reveals Hypoxia Patterns and Immunological Characteristics in Ovarian Cancer.tiff حسب Songwei Feng (11200268)

"…Finally, optimal radiogenomics biomarkers for predicting the risk status of patients were developed by machine learning algorithms.…"

Table_3_Computed Tomography Imaging-Based Radiogenomics Analysis Reveals Hypoxia Patterns and Immunological Characteristics in Ovarian Cancer.xlsx حسب Songwei Feng (11200268)

"…Finally, optimal radiogenomics biomarkers for predicting the risk status of patients were developed by machine learning algorithms.…"

DataSheet_1_Integrated analysis of potential gene crosstalk between non-alcoholic fatty liver disease and diabetic nephropathy.docx حسب Qianqian Yan (4479328)

"…The PPI network built with the 80 common genes included 77 nodes and 83 edges. Ten optimal crosstalk genes were selected by LASSO regression and Boruta algorithm, including CD36, WIPI1, CBX7, FCN1, SLC35D2, CP, ZDHHC3, PTPN3, LPL, and SPP1. …"

Image_1_Comprehensive bioinformatics analysis reveals the crosstalk genes and immune relationship between the systemic lupus erythematosus and venous thromboembolism.tif حسب Jingfan Yu (16481745)

"…Consensus clustering was used to respectively regroup SLE and VTE patients into C1 and C2 clusters based on the CGs expression profile. The levels of immune cell infiltration and immune activation were higher in C1 than in C2 subtypes.…"

Image_2_Comprehensive bioinformatics analysis reveals the crosstalk genes and immune relationship between the systemic lupus erythematosus and venous thromboembolism.tif حسب Jingfan Yu (16481745)

"…Consensus clustering was used to respectively regroup SLE and VTE patients into C1 and C2 clusters based on the CGs expression profile. The levels of immune cell infiltration and immune activation were higher in C1 than in C2 subtypes.…"

Image_3_Comprehensive bioinformatics analysis reveals the crosstalk genes and immune relationship between the systemic lupus erythematosus and venous thromboembolism.tif حسب Jingfan Yu (16481745)

"…Consensus clustering was used to respectively regroup SLE and VTE patients into C1 and C2 clusters based on the CGs expression profile. The levels of immune cell infiltration and immune activation were higher in C1 than in C2 subtypes.…"

Data Sheet 1_A novel, rapid, and practical prognostic model for sepsis patients based on dysregulated immune cell lactylation.pdf حسب Chang Li (133800)

"…Patients were stratified into subgroups using k-means clustering based on lactylation levels. Machine learning algorithms, integrated with pseudotime trajectory reconstruction, were employed to map the temporal dynamics of lactylation. …"

Table_2_Xerna™ TME Panel is a machine learning-based transcriptomic biomarker designed to predict therapeutic response in multiple cancers.xlsx حسب Mark Uhlik (628328)

"…</p>Methods<p>The Panel algorithm is an artificial neural network (ANN) trained with an input signature of 124 genes that was optimized across various solid tumors. …"

Image 1_Multi-omics derivation of a core gene signature for predicting therapeutic response and characterizing immune dysregulation in inflammatory bowel disease.jpeg حسب Mingming Wang (394106)

"…</p>Methods<p>We performed multi-omics analyses of GEO datasets using machine learning algorithms (LASSO/Random Forest) to derive a four-gene signature. …"

DataSheet_1_Xerna™ TME Panel is a machine learning-based transcriptomic biomarker designed to predict therapeutic response in multiple cancers.pdf حسب Mark Uhlik (628328)

"…</p>Methods<p>The Panel algorithm is an artificial neural network (ANN) trained with an input signature of 124 genes that was optimized across various solid tumors. …"

Table_2_An immunogenic cell death-related regulators classification patterns and immune microenvironment infiltration characterization in intracranial aneurysm based on machine lea... حسب Mirzat Turhon (12220898)

"…</p>Conclusions<p>A new gene signature for IA based on ICD features was created. …"

Image_3_An immunogenic cell death-related regulators classification patterns and immune microenvironment infiltration characterization in intracranial aneurysm based on machine lea... حسب Mirzat Turhon (12220898)

"…</p>Conclusions<p>A new gene signature for IA based on ICD features was created. …"

Image_4_An immunogenic cell death-related regulators classification patterns and immune microenvironment infiltration characterization in intracranial aneurysm based on machine lea... حسب Mirzat Turhon (12220898)

"…</p>Conclusions<p>A new gene signature for IA based on ICD features was created. …"

Table_1_An immunogenic cell death-related regulators classification patterns and immune microenvironment infiltration characterization in intracranial aneurysm based on machine lea... حسب Mirzat Turhon (12220898)

"…</p>Conclusions<p>A new gene signature for IA based on ICD features was created. …"

Image_2_An immunogenic cell death-related regulators classification patterns and immune microenvironment infiltration characterization in intracranial aneurysm based on machine lea... حسب Mirzat Turhon (12220898)

"…</p>Conclusions<p>A new gene signature for IA based on ICD features was created. …"