Image 1_Construction of a circadian rhythm-related gene signature for predicting the prognosis and immune infiltration of breast cancer.tif حسب Lin Ni (5337725)

"…Three different machine learning algorithms were used to screen out the characteristic circadian genes associated with BC prognosis. …"

Image 1_Deep learning and multi-omics reveal programmed cell death-associated diagnostic signatures and prognostic biomarkers in gastric cancer.pdf حسب Qiaoying Jin (21489770)

"…Experimental validation was conducted using the Human Protein Atlas (HPA) and RT-qPCR in clinical samples. …"

Table 1_Metabolic-stem cell crosstalk in PD: NK1 cells as key mediators from a bioinformatics perspective.xlsx حسب Junxin Zhao (16721864)

"…Hub genes were empirically validated using quantitative real-time polymerase chain reaction (qRT-PCR) and western blotting in animal specimens. …"

Image 2_Integrated transcriptomic and single-cell RNA-seq analysis identifies CLCNKB, KLK1 and PLEKHA4 as key gene of AKI-to-CKD progression.tif حسب Fanhua Zeng (2097133)

"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic curve analysis, expression analysis and experimental verification. …"

Image 1_Immune-related RELT drives clear cell renal cell carcinoma progression through JAK/STAT signaling pathway activation.tiff حسب Yini Wang (410389)

"…</p>Methods<p>The relationship between differential expression of RELT in ccRCC and clinical prognosis was investigated based on data from the Gene Expression Omnibus database (GEO) and The Cancer Genome Atlas (TCGA) databases. …"

Table 4_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"

Image 2_Immune-related RELT drives clear cell renal cell carcinoma progression through JAK/STAT signaling pathway activation.tiff حسب Yini Wang (410389)

"…</p>Methods<p>The relationship between differential expression of RELT in ccRCC and clinical prognosis was investigated based on data from the Gene Expression Omnibus database (GEO) and The Cancer Genome Atlas (TCGA) databases. …"

Image3_Multiple cell-death patterns predict the prognosis and drug sensitivity of melanoma patients.TIF حسب Zewei Chen (2936157)

"…</p>Results<p>A CDI consisting of ten gene signatures was established using machine learning algorithms and divided into two groups based on CDI values. …"

Table 1_Multi-omics analysis reveals ultraviolet response insights for immunotherapy and prognosis.xlsx حسب DanHua Zhang (22315099)

"…Key genes (Hub-UVR.Sig) were identified via six machine learning algorithms, and breast cancer (BRCA) subtypes were classified through consensus clustering. …"

Table 1_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"

Image 1_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.tif حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"

Image 1_Integrative prognostic modeling for stage III lung adenosquamous carcinoma post-tumor resection: machine learning insights and web-based implementation.png حسب Min Liang (363007)

"…</p>Methods<p>Utilizing data from the Surveillance, Epidemiology, and End Results database spanning 2000 to 2018, this study identified independent prognostic factors influencing Overall Survival (OS) in ASC using Boruta analysis. …"

Table 3_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"

Table 1_A nomogram for predicting the nature of thyroid adenomatoid nodules on ultrasound: a dual-center study.docx حسب Sheng Cheng (202385)

"…Firstly, radiomics nomograms (R_Nomogram) and clinical nomograms (C_Nomogram) were constructed using eight machine-learning algorithms. The best R_Nomogram and C_Nomogram generated the Radiomics-clinical nomogram (R-C_nomogram). …"

Table 7_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"

Table 10_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"

Table 1_Integrating scRNA-seq and machine learning identifies MNAT1 as a therapeutic target in OSCC.docx حسب Han Gao (486886)

"…</p>Method<p>T cell-Related Ubiquitination genes were identified based on scRNA-seq analysis, and key genes were selected using WGCNA and LASSO algorithms to construct a prognostic model. …"

Image 3_Development of a machine learning-derived dendritic cell signature for prognostic stratification in lung adenocarcinoma.tif حسب Fang Zhou (43765)

"…A dendritic cell-related signature (DCRS) was constructed using multiple machine learning algorithms (Lasso-Cox, RSF, CoxBoost, Stepwise-Cox), and its prognostic performance was validated in seven external cohorts. …"

Table 1_DKK3 and SERPINB5 as novel serum biomarkers for gastric cancer: facilitating the development of risk prediction models for gastric cancer.docx حسب Yan-Yu Liu (9562262)

"…Novel GC biomarkers were explored using data-independent acquisition (DIA) proteomics and enzyme-linked immunosorbent assay (ELISA). …"

Image 2_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.tif حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"