Figs 1–11. by Yufeng He (5673119)

Subjects:

Functional analysis of anoikis-related genes. by Yufeng He (5673119)

Subjects:

Immunoassay of key anoikis-related genes. by Yufeng He (5673119)

Subjects:

Validation of the performance of 6 key anoikis-related genes. by Yufeng He (5673119)

Subjects:

Flow chart of the experimental procedure. by Yufeng He (5673119)

Subjects:

PCR primers. by Yufeng He (5673119)

Subjects:

H&E staining results of rats in each group. by Yufeng He (5673119)

Subjects:

Expression levels of spinal cord proteins in each group of rats. by Yufeng He (5673119)

Subjects:

Expression levels of mRNA in the spinal cord of each group of rats. by Yufeng He (5673119)

Subjects:

Identification of anoikis-related genes. by Yufeng He (5673119)

Subjects:

GSEA of key anoikis-related genes. by Yufeng He (5673119)

Subjects:

Performance assessment of Cell2Spatial on real and simulated mouse brain spatial transcriptomics (ST) data. by Huamei Li (8815955)

Workflow visualization of the application, illustrating the required steps and exportable outputs. by Nicolai Kraus (19949667)

Overview of the proposed improvements to the YOLO11 model. by Beigeng Zhao (21637197)

Robust Multi-Model Subset Selection by Anthony-Alexander Christidis (6949055)

“…The <a href="https://doi.org/10.1080/10618600.2025.2596057" target="_blank">supplementary material</a> contains all theoretical proofs, additional algorithmic and computational details, and the code and data to reproduce our numerical results.…”

HaPy-Bug - Bug localization learning to rank algorithm results by Piotr Przymus (14564009)

Analytical Algorithm for Long-Term Water Supply Operation for Reservoirs in Series by Wenhua Wan (8051543)

“…<p dir="ltr">R code files:</p><p dir="ltr">1. Script for generating synthetic reservoir inflow time series</p><p dir="ltr">2. …”

Entry Point byte frequency by Paul A. Gagniuc (1818325)

Monotone Cubic B-Splines with a Neural-Network Generator by Lijun Wang (176511)

“…We explore different ways of enforcing this constraint and analyze their theoretical and empirical properties. We propose two algorithms for solving the spline fitting problem: one that uses standard optimization techniques and one that trains a Multi-Layer Perceptrons (MLP) generator to approximate the solutions under various settings and perturbations. …”

Comparison of Uniform Manifold Approximation and Projection (UMAP)-based and feature-based spike sorting on synthetic data. by Daniel Suárez-Barrera (22676654)