Reliability of the optimized frequency parameters and sFC matrix edges in the high-dimensional cases as well as of the GoF. حسب Kevin J. Wischnewski (21354521)

Functional enrichment analyses of Co-genes. حسب Qingcong Zheng (11169094)

Explained variance ration of the PCA algorithm. حسب Abeer Aljohani (18497914)

"…<div><p>Chest X-ray image classification plays an important role in medical diagnostics. Machine learning algorithms enhanced the performance of these classification algorithms by introducing advance techniques. …"

Data pre-processing and identification of DEGs. حسب Ziyang Liu (242055)

الموضوعات:

Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... حسب Ziyan Jin (21021976)

Functional enrichment analysis of periodontitis-related DEGs in AAA and identification of candidate key hub genes through Protein-Protein Interaction (PPI) network were conducted. حسب Zhifeng Wu (303016)

Gene co-expression and protein–protein interaction networks of bilaterally shared ISO-ENR DEGs. حسب Azusa Kubota (17304420)

Supplemental files to the study "Limitations of Current Machine-Learning Models in Predicting Enzymatic Functions for Uncharacterized Proteins" حسب Valerie de Crecy-Lagard (12823436)

"…<p dir="ltr">Thirty to seventy percent of proteins in any given genome have no assigned function and have been labeled as the protein “unknome”. …"

Supplemental Tables S1 and S2 for Combining structural modeling and deep learning to calculate the E. coli protein interactome and functional networks حسب Diana Murray (16859046)

"…Biological insights derived from the subnetworks, including the annotation of proteins of unknown function, are discussed in detail. …"

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

Python code for a rule-based NLP model for mapping circular economy indicators to SDGs حسب Zahir Barahmand (18008947)

"…The package includes:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…"

MGVB: a New Proteomics Toolset for Fast and Efficient Data Analysis حسب Metodi V. Metodiev (6089009)

الموضوعات: "…probabilistic scoring function…"

MGVB: a New Proteomics Toolset for Fast and Efficient Data Analysis حسب Metodi V. Metodiev (6089009)

الموضوعات: "…probabilistic scoring function…"

MGVB: a New Proteomics Toolset for Fast and Efficient Data Analysis حسب Metodi V. Metodiev (6089009)

الموضوعات: "…probabilistic scoring function…"

MGVB: a New Proteomics Toolset for Fast and Efficient Data Analysis حسب Metodi V. Metodiev (6089009)

الموضوعات: "…probabilistic scoring function…"

MGVB: a New Proteomics Toolset for Fast and Efficient Data Analysis حسب Metodi V. Metodiev (6089009)

الموضوعات: "…probabilistic scoring function…"

WCST scores and protein expression levels. حسب Chen Chen (6544)

"…This study investigated the association between serum protein expression profiles and cognitive variability in a healthy Thai population using machine learning algorithms. …"

PATH⁺ explains tighter binding of carbonic anhydrase II by brinzolamide. حسب Yuxi Long (11024307)

الموضوعات:

An overview of PATH⁺. حسب Yuxi Long (11024307)

الموضوعات:

The 10 features captured by persistence fingerprint. حسب Yuxi Long (11024307)

الموضوعات: