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

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

Comparison of the ability to escape local optima. by Kejia Liu (5699651)

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

Statistical analysis of DGEP vs. standard GEP. by Kejia Liu (5699651)

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

The list of 434 anoikis-related genes (ARGs). by Yanfeng Xue (465345)

“…We employed univariate Cox regression analysis, LASSO regression, and random forest algorithms to identify anoikis-related genes (ARG) from bulk transcriptomic datasets, and establish a 7-gene prognostic signature, validated in two LUAD cohorts from GEO database. …”

Workflow diagram for this study. by Yanfeng Xue (465345)

“…We employed univariate Cox regression analysis, LASSO regression, and random forest algorithms to identify anoikis-related genes (ARG) from bulk transcriptomic datasets, and establish a 7-gene prognostic signature, validated in two LUAD cohorts from GEO database. …”

Machine learning. by Rui Guo (134395)

Single-cell landscape characterization in LUAD. by Yanfeng Xue (465345)

Analysis of differential enrichment and immune infiltration in high and low risk groups. by Yanfeng Xue (465345)

This figure highlights the limitations of manual scoring. by Saeed Mohammadzadeh (13492285)

Data Sheet 1_Systematic pan-cancer analysis identifies PKNOX1 as a potential prognostic and immunological biomarker and its functional validation.docx by 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. …”

Application of explainable clustering on cell features for unsupervised organization scoring. by Saeed Mohammadzadeh (13492285)

Here we compare the performance of the original and modified SarcGraph software for detecting sarcomeres. by Saeed Mohammadzadeh (13492285)

Enhancements to SarcGraph’s z-disc segmentation pipeline. by Saeed Mohammadzadeh (13492285)

NHPPP generation in R packages. by Thomas A. Trikalinos (5785877)

“…We developed it to facilitate the sampling of event times in discrete event and statistical simulations. The package’s functions are based on three algorithms that provably sample from a target NHPPP: the time-transformation of a homogeneous Poisson process (of intensity one) via the inverse of the integrated intensity function; the generation of a Poisson number of order statistics from a fixed density function; and the thinning of a majorizing NHPPP via an acceptance-rejection scheme. …”

Simulation metrics for the number of counts. by Thomas A. Trikalinos (5785877)

“…We developed it to facilitate the sampling of event times in discrete event and statistical simulations. The package’s functions are based on three algorithms that provably sample from a target NHPPP: the time-transformation of a homogeneous Poisson process (of intensity one) via the inverse of the integrated intensity function; the generation of a Poisson number of order statistics from a fixed density function; and the thinning of a majorizing NHPPP via an acceptance-rejection scheme. …”

Data Sheet 1_Association between red blood cell distribution width-to-albumin ratio and in-hospital mortality in patients with congestive heart failure combined with chronic kidney... by Lie-jun Qian (21659372)

“…</p>Methods<p>The patients' information was collected from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. …”

<b>Supplementary material for "Modified nonlocal strain gradient theory for static bending, free vibration and buckling analysis of functionally graded piezoelectric nanoplates"</b... by Phạm Văn Vinh (19543726)

“…<p dir="ltr">A novel modified nonlocal strain gradient is employed in this research for the comprehensive analysis of functionally graded piezoelectric nanoplates. This is a unique theory that is compatible for analysis of a wide range of small-scale structures varying from nano-scale to micro-scale dimensions. …”

Data Sheet 3_Pain - related methylation driver genes affect the prognosis of pancreatic cancer patients by altering immune function and perineural infiltration.docx by 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. …”

Data Sheet 2_Pain - related methylation driver genes affect the prognosis of pancreatic cancer patients by altering immune function and perineural infiltration.zip by 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. …”

Data Sheet 1_Pain - related methylation driver genes affect the prognosis of pancreatic cancer patients by altering immune function and perineural infiltration.zip by 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. …”