Image 5_A machine learning-derived immune-related prognostic model identifies PLXNA3 as a functional risk gene in colorectal cancer.tif حسب Hanzhang Lyu (22163404)

"…</p>Methods<p>To address this gap, we constructed a robust prognostic model by integrating over 100 machine learning algorithms—such as LASSO, CoxBoost, and StepCox—based on transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) cohorts.…"

Image 3_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.jpeg حسب Siyu Tong (12905585)

"…Using 113 machine learning algorithms and MitoCarta mitochondrial genetics data, we developed a mitochondrial gene-based diagnostic model. …"

Table 2_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.xlsx حسب Siyu Tong (12905585)

"…Using 113 machine learning algorithms and MitoCarta mitochondrial genetics data, we developed a mitochondrial gene-based diagnostic model. …"

Data Sheet 1_Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome.xlsx حسب Ge Jin (347352)

"…The risk score model constructed based on these biomarkers could effectively predict the survival rate of cervical cancer patients (AUC >0.6 for 1/3/5 years). …"

Data Sheet 1_Machine learning integration with multi-omics data constructs a robust prognostic model and identifies PTGES3 as a therapeutic target for precision oncology in lung ad... حسب Lian-jie Ruan (22327876)

"…</p>Conclusions<p>Our findings highlight the potential of LS score-based molecular subtyping to improve treatment strategies for lung adenocarcinoma and emphasize PTGES3’s role in new therapeutic development.…"

Image 4_A machine learning-derived immune-related prognostic model identifies PLXNA3 as a functional risk gene in colorectal cancer.tif حسب Hanzhang Lyu (22163404)

"…</p>Methods<p>To address this gap, we constructed a robust prognostic model by integrating over 100 machine learning algorithms—such as LASSO, CoxBoost, and StepCox—based on transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) cohorts.…"

Data Sheet 3_Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome.csv حسب Ge Jin (347352)

"…The risk score model constructed based on these biomarkers could effectively predict the survival rate of cervical cancer patients (AUC >0.6 for 1/3/5 years). …"

Image 2_Revealing key regulatory factors in lung adenocarcinoma: the role of epigenetic regulation of autophagy-related genes from transcriptomics, scRNA-seq, and machine learning.... حسب Xianchang Zeng (9329117)

"…Single-cell RNA sequencing was further employed to evaluate the heterogeneity of immune cells. Machine learning algorithms were utilized to construct and identify diagnostic markers for LUAD, which were then validated by receiver operating characteristic (ROC) curve analysis. …"

Image 1_Revealing key regulatory factors in lung adenocarcinoma: the role of epigenetic regulation of autophagy-related genes from transcriptomics, scRNA-seq, and machine learning.... حسب Xianchang Zeng (9329117)

"…Single-cell RNA sequencing was further employed to evaluate the heterogeneity of immune cells. Machine learning algorithms were utilized to construct and identify diagnostic markers for LUAD, which were then validated by receiver operating characteristic (ROC) curve analysis. …"

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_Automated classification of stress and relaxation responses in major depressive disorder, panic disorder, and healthy participants via heart rate variability.pdf حسب Sangwon Byun (3434747)

"…This study evaluated the feasibility of using machine-learning algorithms to detect stress automatically in MDD and PD patients, as well as healthy controls (HCs), based on HRV features.…"

Data Sheet 1_Integrated transcriptomics and machine learning reveal REN as a dual regulator of tumor stemness and NK cell evasion in Wilms tumor progression.docx حسب Qingfei Cao (12062217)

"…A novel Cancer Stemness Prognostic Index (CSPI) was developed using machine learning algorithms to stratify WT patients by risk and histological subtype. …"

Data Sheet 2_Icariin ameliorates minimal change disease by regulating the mitochondrial dysfunction pathway: an integrated strategy of network pharmacology, bioinformatics, and exp... حسب Hao Wu (65943)

"…In addition, the key gene-based nomogram demonstrated good predictive ability. …"

Identification of potential circadian rhythm-related hub genes and immune infiltration in preeclampsia through bioinformatics analysis حسب Juan Tang (437969)

"…Immune infiltration was analyzed using CIBERSORT and Single Sample Gene Set Enrichment Analysis algorithms. PE patients were clustered into subtypes with ConsensusClusterPlus. ceRNA and Transcription Factor regulatory networks were constructed using miRTarBase, ENCODE, and NetworkAnalyst.…"

Image 1_Integrated transcriptomics and machine learning reveal REN as a dual regulator of tumor stemness and NK cell evasion in Wilms tumor progression.tif حسب Qingfei Cao (12062217)

"…A novel Cancer Stemness Prognostic Index (CSPI) was developed using machine learning algorithms to stratify WT patients by risk and histological subtype. …"

Quantitatively linking morphology and optical response of individual silver nanohedra - data حسب Zoltan Sztranyovszky (19655521)

"…By systematically investigating various tomography reconstruction algorithms which influence the geometry, and varying material parameters of the system, we find out that assuming a thin (~0.3-1nm) tarnish layer has formed on the particle surface brings about a good agreement between simulation and experiment.…"

Data Sheet 1_Icariin ameliorates minimal change disease by regulating the mitochondrial dysfunction pathway: an integrated strategy of network pharmacology, bioinformatics, and exp... حسب Hao Wu (65943)

"…In addition, the key gene-based nomogram demonstrated good predictive ability. …"

Variable analysis using conventional statistics. حسب Ana Torres (8919335)

"…This approach could prove instrumental to train future supervised algorithms based on larger patient cohorts both for a more precise diagnosis and to gain insight into fundamental aspects of this complication of visceral leishmaniasis.…"

Abbreviations used in the text. حسب Lorenzo Ruinelli (13014138)

"…Machine Learning (ML) algorithms were developed with 10-fold cross-validation, and diagnostic accuracy was evaluated.…"

DataSheet1_Assessing sepsis-induced immunosuppression to predict positive blood cultures.pdf حسب Enrique Hernández-Jiménez (559505)

"…Although not widely accepted, several clinical and artificial intelligence-based algorithms have been recently developed to predict bacteremia. …"