Comparison of average reward values in various simulation scenarios. حسب Honglei Pang (22693724)

الموضوعات:

HIL test results of split-μ road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate. حسب Honglei Pang (22693724)

الموضوعات:

DataSheet1_Construction of a mitochondrial dysfunction related signature of diagnosed model to obstructive sleep apnea.docx حسب Qian Liu (135614)

"…</p><p>Conclusion: A novel mitochondrial dysfunction-related four-gen signature of diagnostic model was built. …"

Performance and Validation of the Predictive Model for HF. حسب Yiping Lang (21560364)

الموضوعات:

A Schematic flowchart of the ANN Models. حسب Saksham Phul (12437059)

الموضوعات:

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. حسب Gursimran Singh (575288)

الموضوعات:

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data حسب Jean-Christophe Lachance (6619307)

"…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …"

Comparison of receiver operating characteristic (ROC) curves of five machine learning models in non - alcoholic fatty liver disease (NAFLD) prediction. حسب Yong Zhang (5893)

الموضوعات:

Table 1_Development of a diagnostic model for MASLD and identification of daidzein as the potential drug using bioinformatics analysis and experiments.xls حسب Tao Wang (12008)

"…The optimal predictive model for MASLD was the 17-gene signature (IGFBP1, ENO3, SOCS2, GADD45G, NR4A2, RTP4, RAB26, CRYAA, PPP1R3C,MCAM, IL6, IER3, RTP3, NR4A1, CCL5, FOS, JUNB) selected through combined glmBoost+GBM algorithms, which was demonstrated robust predictive performance. …"

Image 1_Development of a diagnostic model for MASLD and identification of daidzein as the potential drug using bioinformatics analysis and experiments.tif حسب Tao Wang (12008)

"…The optimal predictive model for MASLD was the 17-gene signature (IGFBP1, ENO3, SOCS2, GADD45G, NR4A2, RTP4, RAB26, CRYAA, PPP1R3C,MCAM, IL6, IER3, RTP3, NR4A1, CCL5, FOS, JUNB) selected through combined glmBoost+GBM algorithms, which was demonstrated robust predictive performance. …"

Table 1_Development and validation of machine learning models for MASLD: based on multiple potential screening indicators.docx حسب Hao Chen (5190)

"…</p>Methods<p>MASLD risk prediction models were constructed based on seven machine learning algorithms using all variables, insulin-related variables, demographic characteristics variables, and other indicators, respectively. …"

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.…"

Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics حسب Paolo Cifani (1575613)

"…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …"

Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics حسب Paolo Cifani (1575613)

"…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …"

MCC values reported for three different ANN models. حسب Saksham Phul (12437059)

الموضوعات:

Study for the binding affinity of thyroid hormone receptors based on machine learning algorithm حسب N. Li (1571929)

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)

Differential Expression, ROC Analysis, and PPI Network of Model Genes. حسب Yiping Lang (21560364)

الموضوعات:

The Relative Expression Levels of Six Key Genes in Sepsis Models. حسب Yiping Lang (21560364)

الموضوعات:

Model for controls after 26 years. حسب Hans-Christian Deter (6296303)