Table 1_Development and validation of machine learning models for MASLD: based on multiple potential screening indicators.docx حسب Hao Chen (5190)

Immune infiltration analysis by CIBERSORT algorithm. حسب Lanying Shen (22755930)

Immune infiltration analysis by CIBERSORT algorithm. حسب Lanying Shen (22755930)

Table 4_Multiple programmed cell death patterns predict the prognosis and drug sensitivity in gastric cancer.docx حسب Qiying Song (11199899)

Table 2_Multiple programmed cell death patterns predict the prognosis and drug sensitivity in gastric cancer.docx حسب Qiying Song (11199899)

Table 1_Multiple programmed cell death patterns predict the prognosis and drug sensitivity in gastric cancer.xlsx حسب Qiying Song (11199899)

Table 3_Multiple programmed cell death patterns predict the prognosis and drug sensitivity in gastric cancer.xlsx حسب Qiying Song (11199899)

Image 1_Identification of immune-related biomarkers linked to systemic lupus erythematosus and dilated cardiomyopathy through integrated bioinformatics analysis and multiple machin... حسب Gaijie Li (20454743)

An integrative analysis based on multiple cell death patterns identifies an immunosuppressive subtype and establishes a prognostic signature in lower-grade glioma حسب Hao Lian (419566)

"…The Tumor Immune Dysfunction and Exclusion algorithm was applied for predicting how these three clusters would respond to immune checkpoint blockade (ICB) therapy; we found potential resistance of cluster B to ICB therapy. …"

Exploring Human Brain Metabolism via Genome-Scale Metabolic Modeling with Highlights on Multiple Sclerosis حسب Mustafa Sertbas (18211859)

"…In parallel with advances in isolation and measurement technologies, genome-scale metabolic models (GEMs) have become a powerful tool in the studies of systems biology to provide critical insights into the understanding of sophisticated eukaryotic systems. In this study, brain cell-specific GEMs were reconstructed for neurons, astrocytes, microglia, oligodendrocytes, and oligodendrocyte precursor cells by integrating single-cell RNA-seq data and global Human1 via a task-driven integrative network inference for tissues (tINIT) algorithm. …"

Exploring Human Brain Metabolism via Genome-Scale Metabolic Modeling with Highlights on Multiple Sclerosis حسب Mustafa Sertbas (18211859)

"…In parallel with advances in isolation and measurement technologies, genome-scale metabolic models (GEMs) have become a powerful tool in the studies of systems biology to provide critical insights into the understanding of sophisticated eukaryotic systems. In this study, brain cell-specific GEMs were reconstructed for neurons, astrocytes, microglia, oligodendrocytes, and oligodendrocyte precursor cells by integrating single-cell RNA-seq data and global Human1 via a task-driven integrative network inference for tissues (tINIT) algorithm. …"

Table 1_Development of a diagnostic model for MASLD and identification of daidzein as the potential drug using bioinformatics analysis and experiments.xls حسب Tao Wang (12008)

"…Then, key candidate genes were further screened using 113 machine learning algorithms and their diagnostic value was evaluated using ROC curve analysis across multiple datasets. …"

Image 1_Development of a diagnostic model for MASLD and identification of daidzein as the potential drug using bioinformatics analysis and experiments.tif حسب Tao Wang (12008)

"…Then, key candidate genes were further screened using 113 machine learning algorithms and their diagnostic value was evaluated using ROC curve analysis across multiple datasets. …"

Data Sheet 1_Exploring the molecular mechanisms of phthalates in the comorbidity of preeclampsia and depression by integrating multiple datasets.zip حسب Xinpeng Tian (646275)

"…Protein–protein interaction integration and functional enrichment analyses were then applied to identify shared regulatory pathways. Machine learning algorithms were applied to select core diagnostic genes, followed by validation in independent cohorts. …"

Table 1_Leveraging a disulfidptosis-based signature to characterize heterogeneity and optimize treatment in multiple myeloma.docx حسب Bingxin Zhang (13011397)

"…</p>Methods<p>Using the non-negative matrix factorization and lasso algorithm, we constructed the disulfidptosis-associated subtypes and the prognostic model on the GEO dataset. …"

FC-Duplex IgG1 (HTLV-1/2) accuracy for differential diagnosis of HTLV infections. حسب Júlia Pereira Martins (12415351)

Image 1_Decoding monocyte heterogeneity in sepsis: a single-cell apoptotic signature for immune stratification and guiding precision therapy.tif حسب Wenjuan Duan (11875262)

"…A machine learning pipeline incorporating SVM, RF, XGB, and GLM algorithms was used to identify hub genes associated with monocyte apoptosis. …"

Table 2_Unraveling the role of coagulation-related genes in esophageal squamous cell carcinoma: development of a prognostic model and exploration of potential clinical significance... حسب Langlang Deng (22381786)

"…By applying machine learning algorithms, we identified coagulation-related genes in ESCC and developed a predictive model with clinical relevance. …"

Table 1_Unraveling the role of coagulation-related genes in esophageal squamous cell carcinoma: development of a prognostic model and exploration of potential clinical significance... حسب Langlang Deng (22381786)

"…By applying machine learning algorithms, we identified coagulation-related genes in ESCC and developed a predictive model with clinical relevance. …"

Data Sheet 1_Immunogenic cell death-related genes as prognostic biomarkers and therapeutic insights in uterine corpus endometrial carcinoma: an integrative bioinformatics analysis.... حسب Tianfei Yi (10971822)

"…The immune landscape was characterized through multiple bioinformatics approaches, and immunotherapy response was predicted using the Tumor Immune Dysfunction and Exclusion (TIDE) algorithm. …"