Flow chart of the analysis steps in this study. حسب Junjie Su (368807)

"…</p><p>Methods</p><p>We integrated transcriptomic data from GEO (GSE89632 for NAFLD and GSE16561 for AIS) to identify shared molecular signatures. …"

Details regarding the 5 datasets. حسب Junjie Su (368807)

"…</p><p>Methods</p><p>We integrated transcriptomic data from GEO (GSE89632 for NAFLD and GSE16561 for AIS) to identify shared molecular signatures. …"

Data analyzed for the article of <b>Evaluating photoplethysmography-based pulsewave parameters and composite scores for assessment of cardiac function: A comparison with echocardio... حسب Kulin (20907929)

"…The SCN4ALL software analyzed the signals, its proprietary algorithm identifies points of interest on the pulse wave from which it calculates over 30 morphological and pulse rate variability parameters online. …"

IEEE Big Data 2024 Presentation: Norma: A Framework for Finding Threshold Associations Between Continuous Variables Using Point-wise Function حسب Md Mahin (21434966)

"…Norma associates point-wise functions with each variable-e.g., a function that returns poverty rates for each location in New Mexico. …"

IOWarp v1.0 Beta: Advancing Scientific AI with Intelligent Data Management & MCP Integration حسب Anthony Kougkas (17069216)

Table 6_Pain - related methylation driver genes affect the prognosis of pancreatic cancer patients by altering immune function and perineural infiltration.xlsx حسب Chencheng Zhang (6877691)

"…</p>Methods<p>Integrating multi-omics data from TCGA-PAAD (Pancreatic adenocarcinoma), we identified methylation driver genes (MDGs) using the MethylMix algorithm. …"

Table 2_Pain - related methylation driver genes affect the prognosis of pancreatic cancer patients by altering immune function and perineural infiltration.xlsx حسب Chencheng Zhang (6877691)

"…</p>Methods<p>Integrating multi-omics data from TCGA-PAAD (Pancreatic adenocarcinoma), we identified methylation driver genes (MDGs) using the MethylMix algorithm. …"

Table 3_Pain - related methylation driver genes affect the prognosis of pancreatic cancer patients by altering immune function and perineural infiltration.xlsx حسب Chencheng Zhang (6877691)

"…</p>Methods<p>Integrating multi-omics data from TCGA-PAAD (Pancreatic adenocarcinoma), we identified methylation driver genes (MDGs) using the MethylMix algorithm. …"

Table 1_Pain - related methylation driver genes affect the prognosis of pancreatic cancer patients by altering immune function and perineural infiltration.xlsx حسب Chencheng Zhang (6877691)

"…</p>Methods<p>Integrating multi-omics data from TCGA-PAAD (Pancreatic adenocarcinoma), we identified methylation driver genes (MDGs) using the MethylMix algorithm. …"

Table 4_Pain - related methylation driver genes affect the prognosis of pancreatic cancer patients by altering immune function and perineural infiltration.xlsx حسب Chencheng Zhang (6877691)

"…</p>Methods<p>Integrating multi-omics data from TCGA-PAAD (Pancreatic adenocarcinoma), we identified methylation driver genes (MDGs) using the MethylMix algorithm. …"

Table 5_Pain - related methylation driver genes affect the prognosis of pancreatic cancer patients by altering immune function and perineural infiltration.xlsx حسب Chencheng Zhang (6877691)

"…</p>Methods<p>Integrating multi-omics data from TCGA-PAAD (Pancreatic adenocarcinoma), we identified methylation driver genes (MDGs) using the MethylMix algorithm. …"

TIMP1 gene was highly expressed in LUAD tissues and regulated malignant cell- Treg interactions. حسب Yanfeng Xue (465345)

Data Sheet 1_Systematic pan-cancer analysis identifies PKNOX1 as a potential prognostic and immunological biomarker and its functional validation.docx حسب Kan Liu (250462)

"…The correlations between PKNOX1 expression and MDSC immune infiltration and immune cells were analyzed using the TIDE algorithm and the ESTIMATE algorithm. PKNOX1 -interacting proteins and expression-related genes were analysed via the STRING and TIMER 2.0 platforms, and the functions of PKNOX1 in tumors and the cell pathways involved were predicted via KEGG enrichment analysis. …"

Test data on the ability to escape local optima. حسب Kejia Liu (5699651)

"…Its restrictions block GEP from successfully handling high-dimensional along with complex optimization problems. …"

Summary of the notations. حسب Kejia Liu (5699651)

"…Its restrictions block GEP from successfully handling high-dimensional along with complex optimization problems. …"

Comparison of population diversity. حسب Kejia Liu (5699651)

"…Its restrictions block GEP from successfully handling high-dimensional along with complex optimization problems. …"

Test data on mining capacity. حسب Kejia Liu (5699651)

"…Its restrictions block GEP from successfully handling high-dimensional along with complex optimization problems. …"

Comparison of standard GEP and DGEP. حسب Kejia Liu (5699651)

"…Its restrictions block GEP from successfully handling high-dimensional along with complex optimization problems. …"

Test data on population diversity. حسب Kejia Liu (5699651)

"…Its restrictions block GEP from successfully handling high-dimensional along with complex optimization problems. …"

Flowchart of the DGEP process. حسب Kejia Liu (5699651)

"…Its restrictions block GEP from successfully handling high-dimensional along with complex optimization problems. …"