Supplementary file 2_Exploring the role of ferroptosis in pemphigus: identification of diagnostic markers and regulatory mechanisms.docx حسب Jing Mao (148640)

"…Finally, experimental validation was conducted through real-time quantitative PCR, transmission electron microscopy, and drug prediction.…"

Supplementary file 1_Exploring the role of ferroptosis in pemphigus: identification of diagnostic markers and regulatory mechanisms.docx حسب Jing Mao (148640)

"…Finally, experimental validation was conducted through real-time quantitative PCR, transmission electron microscopy, and drug prediction.…"

Data Sheet 8_Investigating the metabolic reprogramming mechanisms in diabetic nephropathy: a comprehensive analysis using bioinformatics and machine learning.csv حسب Shan He (121220)

"…To identify key genes and develop diagnostic models, four machine learning algorithms were employed in conjunction with weighted gene co-expression network analysis (WGCNA) and the protein interaction tool CytoHubba. …"

Table 1_Investigating the metabolic reprogramming mechanisms in diabetic nephropathy: a comprehensive analysis using bioinformatics and machine learning.docx حسب Shan He (121220)

"…To identify key genes and develop diagnostic models, four machine learning algorithms were employed in conjunction with weighted gene co-expression network analysis (WGCNA) and the protein interaction tool CytoHubba. …"

Data Sheet 5_Investigating the metabolic reprogramming mechanisms in diabetic nephropathy: a comprehensive analysis using bioinformatics and machine learning.csv حسب Shan He (121220)

"…To identify key genes and develop diagnostic models, four machine learning algorithms were employed in conjunction with weighted gene co-expression network analysis (WGCNA) and the protein interaction tool CytoHubba. …"

Table 2_Investigating the metabolic reprogramming mechanisms in diabetic nephropathy: a comprehensive analysis using bioinformatics and machine learning.docx حسب Shan He (121220)

"…To identify key genes and develop diagnostic models, four machine learning algorithms were employed in conjunction with weighted gene co-expression network analysis (WGCNA) and the protein interaction tool CytoHubba. …"

Data Sheet 1_Investigating the metabolic reprogramming mechanisms in diabetic nephropathy: a comprehensive analysis using bioinformatics and machine learning.csv حسب Shan He (121220)

"…To identify key genes and develop diagnostic models, four machine learning algorithms were employed in conjunction with weighted gene co-expression network analysis (WGCNA) and the protein interaction tool CytoHubba. …"

Data Sheet 2_Investigating the metabolic reprogramming mechanisms in diabetic nephropathy: a comprehensive analysis using bioinformatics and machine learning.csv حسب Shan He (121220)

"…To identify key genes and develop diagnostic models, four machine learning algorithms were employed in conjunction with weighted gene co-expression network analysis (WGCNA) and the protein interaction tool CytoHubba. …"

Supplementary file 3_Exploring the role of ferroptosis in pemphigus: identification of diagnostic markers and regulatory mechanisms.docx حسب Jing Mao (148640)

"…Finally, experimental validation was conducted through real-time quantitative PCR, transmission electron microscopy, and drug prediction.…"

Image 1_Hyperspectral estimation of chlorophyll density in winter wheat using fractional-order derivative combined with machine learning.tif حسب Chenbo Yang (10004575)

"…Hyperspectral monitoring models for winter wheat ChD were constructed using 8 machine learning algorithms, including partial least squares regression, support vector regression, multi-layer perceptron regression, random forest regression, extra-trees regression (ETsR), decision tree regression, K-nearest neighbors regression, and gaussian process regression, based on the full spectrum band and the band selected by competitive adaptive reweighted sampling (CARS). …"

Table 1_Image-assisted textural analysis of plagioclase crystals in volcanic rocks: an application to lavas erupted on 2021 at Pacaya volcano, Guatemala.xlsx حسب Roberto Visalli (8152251)

"…The processing strategy is based on the sequential application of the Principal Components Analysis and the supervised Maximum Likelihood Classification algorithms that allow us distinguishing among rock constituents (mineral phases, vesicles and glasses), quantifying their modal abundances, and identifying textural and chemical variations in a simplified and quick process. …"

Data Sheet 1_Image-assisted textural analysis of plagioclase crystals in volcanic rocks: an application to lavas erupted on 2021 at Pacaya volcano, Guatemala.docx حسب Roberto Visalli (8152251)

"…The processing strategy is based on the sequential application of the Principal Components Analysis and the supervised Maximum Likelihood Classification algorithms that allow us distinguishing among rock constituents (mineral phases, vesicles and glasses), quantifying their modal abundances, and identifying textural and chemical variations in a simplified and quick process. …"

Table3_A real-world pharmacovigilance analysis of eslicarbazepine acetate using the FDA adverse events reporting system (FAERS) database from 2013 (Q4) to 2024 (Q1).docx حسب Huafei Tang (19710232)

"…Demographic information, time of onset and gender-specific signal detection were also examined. …"

Table1_A real-world pharmacovigilance analysis of eslicarbazepine acetate using the FDA adverse events reporting system (FAERS) database from 2013 (Q4) to 2024 (Q1).XLSX حسب Huafei Tang (19710232)

"…Demographic information, time of onset and gender-specific signal detection were also examined. …"

Table2_A real-world pharmacovigilance analysis of eslicarbazepine acetate using the FDA adverse events reporting system (FAERS) database from 2013 (Q4) to 2024 (Q1).XLSX حسب Huafei Tang (19710232)

"…Demographic information, time of onset and gender-specific signal detection were also examined. …"

Figures and Tables حسب Divya C D (22799186)

"…Robots Comput. Vision XXXI: Algorithms and Techniques, Burlingame, CA, USA, Jan. 23–24, 2012.…"

Data Sheet 1_Real-world data-driven early warning system for risk-stratified liver injury in hospitalized COVID-19 patients—Machine learning models for clinical decision support.do... حسب Yuanguo Xiong (20135991)

"…Thirteen distinct machine learning (ML) algorithms were trained and benchmarked to construct an optimal risk stratification framework. …"

Data Sheet 1_The use of patient-generated health data in the management of low anterior resection syndrome: a qualitative study.pdf حسب Olivia Monton (20452403)

"…Finally, some participants saw promise in leveraging PGHD to inform the creation of automated treatment algorithms for LARS management.</p>Conclusions<p>This study highlights many gaps in the processes of patient-generated LARS data collection and review. …"

Data Sheet 1_Beyond the current state of just-in-time adaptive interventions in mental health: a qualitative systematic review.pdf حسب Claire R. van Genugten (20626733)

"…To accomplish this, JITAIs often apply complex analytic techniques, such as machine learning or Bayesian algorithms to real- or near-time data acquired from smartphones and other sensors. …"

Image 4_The evolution of artificial intelligence technology in non-alcoholic fatty liver disease.jpeg حسب Jiawen He (7828505)

"…The tables generated by the tool systematically recorded the development process of the literature, clearly depicting the evolution of the research field over time. …"