Optimization outcome for the Levy function. حسب Shikun Chen (14625352)

"…This approach bridges the gap between model accuracy and optimization efficiency, offering a practical solution for optimizing non-differentiable machine learning models that can be extended to other tree-based ensemble algorithms. …"

Supplementary file 1_SRC is a potential target of Arctigenin in treating triple-negative breast cancer: based on machine learning algorithms, molecular modeling and in Vitro test.d... حسب Yuezhou Huang (9998177)

"…Machine learning algorithms were employed to identify hub genes, followed by validation through molecular docking, molecular dynamics (MD) simulations, and surface plasmon resonance (SPR) assays. …"

Logistic kernel: Power and Type I error for cluster evaluation metric simulations. حسب Alexandria M. Jensen (6494957)

الموضوعات:

ABIDE dataset subject demographics. حسب Alexandria M. Jensen (6494957)

الموضوعات:

Linear kernel: Power and Type I error for cluster evaluation metric simulations. حسب Alexandria M. Jensen (6494957)

الموضوعات:

Examples of between- and within-community Beta distributions. حسب Alexandria M. Jensen (6494957)

الموضوعات:

P-values from analysis of ABIDE dataset for binary outcome of diagnostic group. حسب Alexandria M. Jensen (6494957)

الموضوعات:

Examples of four simulated networks and adjacency matrices. حسب Alexandria M. Jensen (6494957)

الموضوعات:

P-values from analysis of ABIDE dataset for continuous outcome of VIQ. حسب Alexandria M. Jensen (6494957)

الموضوعات:

Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. حسب Gursimran Singh (575288)

الموضوعات:

Co-diagnostic gene screening and machine learning modelling. حسب Juntu Li (20411498)

Predicting Oxidation Potentials with DFT-Driven Machine Learning حسب Shweta Sharma (41033)

"…To further facilitate future development of ML models, we extensively tested various algorithms and conducted a thorough feature importance analysis. …"

Predicting Oxidation Potentials with DFT-Driven Machine Learning حسب Shweta Sharma (41033)

"…To further facilitate future development of ML models, we extensively tested various algorithms and conducted a thorough feature importance analysis. …"

Table 2_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.xlsx حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Image 3_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.tif حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Table 4_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.xlsx حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Table 1_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.xlsx حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Image 4_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.tif حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Table 3_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.xlsx حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Image 6_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.tif حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"