Data Sheet 1_Epigenetic modifications in developmental coordination disorder: association between DNA methylation and motor performance.docx by Fangfang Huang (821089)

“…Using the Bumphunter and ProbeLasso algorithms, 48 and 22 differentially methylated regions (DMRs) were identified, respectively. …”

Search for acetylcholinesterase inhibitors by computerized screening of approved drug compounds by T.A. Materova (22770138)

“…<p>This article presents the results of computational screening of approved drug compounds to find new inhibitors of acetylcholinesterase (AChE), an enzyme that plays a key role in the regulation of neurotransmission and cognitive functions. Using molecular docking and quantum chemical postprocessing methods, the authors conducted a virtual screening of a library of 2909 drug compounds approved for clinical use from two ZINC database libraries. …”

Data Sheet 2_Epigenetic modifications in developmental coordination disorder: association between DNA methylation and motor performance.xlsx by Fangfang Huang (821089)

“…Using the Bumphunter and ProbeLasso algorithms, 48 and 22 differentially methylated regions (DMRs) were identified, respectively. …”

Data Availability for Barrier Island Response to Energetic Storms: a Global View by Valeria Fanti (14857549)

“…As wave direction is a circular variable, in order to allow its use in correlation analysis it was linearized with the sine function and referenced to 270°. …”

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

“…Immune infiltration was analyzed using CIBERSORT and Single Sample Gene Set Enrichment Analysis algorithms. …”

Identification and validation of parthanatos-related genes in end-stage renal disease by Xuan Dai (5153786)

“…</p> <p>In this study, blood samples from ESRD patients and healthy controls were analyzed using public transcriptomic data. Two machine learning algorithms identified candidate genes, refined through ROC analysis. …”

Table 2_Construction and validation of immune prognosis model for lung adenocarcinoma based on machine learning.docx by Jinyu Zheng (734257)

“…Protein expression and biological functions of hub genes were validated using the HPA database and GSEA.…”

Table 1_Construction and validation of immune prognosis model for lung adenocarcinoma based on machine learning.docx by Jinyu Zheng (734257)

“…Protein expression and biological functions of hub genes were validated using the HPA database and GSEA.…”

Data Sheet 1_Machine learning models predict coagulopathy in traumatic brain injury patients in ER.csv by Haoyu Wang (429641)

“…We developed a machine learning model to predict coagulopathy in TBI patients in the emergency room. Using data from 322 TBI patients (mean age 55.7 ± 21.1 years, coagulopathy incidence 15.8%) at Chongqing Ninth People’s Hospital (2018–2024), we collected clinical and laboratory data (GCS scores, blood counts, liver function). …”

Table1_Comprehensive pan-cancer analysis and experiments revealed R3HDM1 as a novel predictive biomarker for prognosis and immune therapy response.DOCX by Jiawei Liu (553742)

“…Protein expression levels were evaluated using the Clinical Proteomics Tumor Analysis Alliance (CPTAC). …”

Data Sheet 3_Identification and validation of biomarkers associated with mitochondrial dysfunction and ferroptosis in rat spinal cord injury.csv by Jingliang Zhu (20889605)

“…The biomarkers’ expression levels were validated using RT-qPCR.</p>Results<p>In this study, two biomarkers, Hcrt and Cdca2, linked to mitochondrial function and ferroptosis in SCI, were found to be highly expressed in SCI samples. …”

Data Sheet 2_Identification and validation of biomarkers associated with mitochondrial dysfunction and ferroptosis in rat spinal cord injury.csv by Jingliang Zhu (20889605)

“…The biomarkers’ expression levels were validated using RT-qPCR.</p>Results<p>In this study, two biomarkers, Hcrt and Cdca2, linked to mitochondrial function and ferroptosis in SCI, were found to be highly expressed in SCI samples. …”

Data Sheet 1_Identification and validation of biomarkers associated with mitochondrial dysfunction and ferroptosis in rat spinal cord injury.csv by Jingliang Zhu (20889605)

“…The biomarkers’ expression levels were validated using RT-qPCR.</p>Results<p>In this study, two biomarkers, Hcrt and Cdca2, linked to mitochondrial function and ferroptosis in SCI, were found to be highly expressed in SCI samples. …”

Data Sheet 4_Identification and validation of biomarkers associated with mitochondrial dysfunction and ferroptosis in rat spinal cord injury.csv by Jingliang Zhu (20889605)

“…The biomarkers’ expression levels were validated using RT-qPCR.</p>Results<p>In this study, two biomarkers, Hcrt and Cdca2, linked to mitochondrial function and ferroptosis in SCI, were found to be highly expressed in SCI samples. …”

Data Sheet 1_Identification and validation of cellular senescence-related genes and immune cell infiltration characteristics in intervertebral disc degeneration.pdf by Hao Li (31608)

“…Objective<p>To identify cell senescence-related genes and immune cell infiltration characteristics in intervertebral disc degeneration (IVDD) using bioinformatics and investigate their biological functions and signaling pathways.…”

Image 1_Exercise-related immune gene signature for hepatocellular carcinoma: machine learning and multi-omics analysis.pdf by Cheng Pu (14791088)

“…Univariate COX analysis and 101 combinations of 10 machine learning algorithms were used to construct EIG prognostic signature (EIGPS), and survival analyses were performed. …”

Data Sheet 1_Exercise-related immune gene signature for hepatocellular carcinoma: machine learning and multi-omics analysis.xlsx by Cheng Pu (14791088)

“…Univariate COX analysis and 101 combinations of 10 machine learning algorithms were used to construct EIG prognostic signature (EIGPS), and survival analyses were performed. …”

Data Sheet 1_Urinary lipid metabolites and progression of kidney disease in individuals with type 2 diabetes.pdf by Yu Xiao (150812)

“…Feature selection was performed using machine learning algorithms (random forest and Boruta) to identify potential biomarkers from the differentially expressed metabolites. …”

Supplementary file 1_Construction and validation of a machine learning model integrating ultrasound features and inflammatory markers (OVART-ML) for predicting ovarian torsion and... by Zhifei Zhao (4014386)

“…After preprocessing (data standardization and LASSO feature selection), 11 ML algorithms [including Support Vector Machine [SVM], K-Nearest Neighbors [KNN], and Random Forest [RF]] were used to construct predictive models. …”

Table 1_Construction and validation of a machine learning model integrating ultrasound features and inflammatory markers (OVART-ML) for predicting ovarian torsion and ischemic necr... by Zhifei Zhao (4014386)

“…After preprocessing (data standardization and LASSO feature selection), 11 ML algorithms [including Support Vector Machine [SVM], K-Nearest Neighbors [KNN], and Random Forest [RF]] were used to construct predictive models. …”