Data Sheet 1_Sensing spatial inequality of socio-economic factors for deploying permanent deacons in the UK.docx حسب Md. Tariqul Islam (5015267)

"…We used geographic information system (GIS) based algorithms, Getis-Ord Gi* for hot spot analysis to find the clustered area by considering the socio-economic factors. …"

Table1_Adverse drug reaction signals mining comparison of amiodarone and dronedarone: a pharmacovigilance study based on FAERS.XLSX حسب Ye Xu (29869)

"…The disproportionality analysis algorithms, including Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM), were used to detect signals of amiodarone-related and dronedarone-related ADRs. …"

Table3_Adverse drug reaction signals mining comparison of amiodarone and dronedarone: a pharmacovigilance study based on FAERS.pdf حسب Ye Xu (29869)

"…The disproportionality analysis algorithms, including Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM), were used to detect signals of amiodarone-related and dronedarone-related ADRs. …"

Table2_Adverse drug reaction signals mining comparison of amiodarone and dronedarone: a pharmacovigilance study based on FAERS.XLSX حسب Ye Xu (29869)

"…The disproportionality analysis algorithms, including Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM), were used to detect signals of amiodarone-related and dronedarone-related ADRs. …"

A dataset of near-surface NO₂ concentrations with a 1km² resolution over mainland China (2014 to 2020). حسب Zhen li (20755301)

"…The spatial resolution of 1km² ensures its high accuracy in pollutant distribution studies at the city level or even smaller scales, and is particularly suitable for fine-grained environmental pollution analysis. …"

Table 1_Molecular characterization and prognostic modeling associated with M2-like tumor-associated macrophages in breast cancer: revealing the immunosuppressive role of DLG3.xlsx حسب Ziqiang Wang (1628740)

"…Consensus clustering analysis identified three molecular subtypes with distinct clinical features, and we explored potential differences in genomic mutations, pathway enrichment, and immune infiltration in patients between subtypes. Machine learning algorithms were used to screen key genes and construct M2-like macrophage-associated prognostic models. …"

Data Sheet 1_Molecular characterization and prognostic modeling associated with M2-like tumor-associated macrophages in breast cancer: revealing the immunosuppressive role of DLG3.... حسب Ziqiang Wang (1628740)

"…Consensus clustering analysis identified three molecular subtypes with distinct clinical features, and we explored potential differences in genomic mutations, pathway enrichment, and immune infiltration in patients between subtypes. Machine learning algorithms were used to screen key genes and construct M2-like macrophage-associated prognostic models. …"

Image 1_Validation of the Somnolyzer 24×7 automatic scoring system in children with suspected obstructive sleep apnea.tif حسب Ignacio Boira (21562568)

"…Automatic scoring by current computer algorithms shows high agreement with manual scoring. …"

Table 1_Validation of the Somnolyzer 24×7 automatic scoring system in children with suspected obstructive sleep apnea.docx حسب Ignacio Boira (21562568)

"…Automatic scoring by current computer algorithms shows high agreement with manual scoring. …"

Image 4_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 3_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 5_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_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. …"

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. …"

Predictive model-building process. حسب Mukhtar Ijaiya (18935122)

"…We trained multiple supervised ML algorithms on de-identified client-level electronic medical records data from a cohort of PLHIV across four Nigerian states. …"

Table 2_A real−world pharmacovigilance study of FDA Adverse Event Reporting System events for pralsetinib.xlsx حسب Yi Yin (448434)

"…A total of 95 significant disproportionality preferred terms (PTs) conformed to the four algorithms simultaneously. AEs that ranked the top three at the PT level were hypertension (n = 80), asthenia (n = 79), and anemia (n = 65). …"

Table 3_A real−world pharmacovigilance study of FDA Adverse Event Reporting System events for pralsetinib.xlsx حسب Yi Yin (448434)

"…A total of 95 significant disproportionality preferred terms (PTs) conformed to the four algorithms simultaneously. AEs that ranked the top three at the PT level were hypertension (n = 80), asthenia (n = 79), and anemia (n = 65). …"

List of data tables. حسب Mukhtar Ijaiya (18935122)

"…We trained multiple supervised ML algorithms on de-identified client-level electronic medical records data from a cohort of PLHIV across four Nigerian states. …"

Flow chart of data source inclusion. حسب Mukhtar Ijaiya (18935122)

"…We trained multiple supervised ML algorithms on de-identified client-level electronic medical records data from a cohort of PLHIV across four Nigerian states. …"