Performances of Naïve Bayes (NB), Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), Support Vector Machine (SVM) and K- Nearest Neighbors (KNN). حسب Solomon Shiferaw Beyene (9143178)

Accuracy, sensitivity, specificity and F-score. حسب Solomon Shiferaw Beyene (9143178)

The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. حسب Solomon Shiferaw Beyene (9143178)

Image2_Integrated genomic analysis defines molecular subgroups in dilated cardiomyopathy and identifies novel biomarkers based on machine learning methods.TIF حسب Ling-Fang Ye (14578280)

"…We also adopted Weighted gene co-expression network analysis (WGCNA) analysis based on subgroup‐specific signatures of gene expression profiles to further explore the specific gene modules of each molecular subgroup and its biological function. …"

Table1_Integrated genomic analysis defines molecular subgroups in dilated cardiomyopathy and identifies novel biomarkers based on machine learning methods.docx حسب Ling-Fang Ye (14578280)

"…We also adopted Weighted gene co-expression network analysis (WGCNA) analysis based on subgroup‐specific signatures of gene expression profiles to further explore the specific gene modules of each molecular subgroup and its biological function. …"

Table2_Integrated genomic analysis defines molecular subgroups in dilated cardiomyopathy and identifies novel biomarkers based on machine learning methods.docx حسب Ling-Fang Ye (14578280)

"…We also adopted Weighted gene co-expression network analysis (WGCNA) analysis based on subgroup‐specific signatures of gene expression profiles to further explore the specific gene modules of each molecular subgroup and its biological function. …"

Table4_Integrated genomic analysis defines molecular subgroups in dilated cardiomyopathy and identifies novel biomarkers based on machine learning methods.docx حسب Ling-Fang Ye (14578280)

"…We also adopted Weighted gene co-expression network analysis (WGCNA) analysis based on subgroup‐specific signatures of gene expression profiles to further explore the specific gene modules of each molecular subgroup and its biological function. …"

Image1_Integrated genomic analysis defines molecular subgroups in dilated cardiomyopathy and identifies novel biomarkers based on machine learning methods.TIF حسب Ling-Fang Ye (14578280)

"…We also adopted Weighted gene co-expression network analysis (WGCNA) analysis based on subgroup‐specific signatures of gene expression profiles to further explore the specific gene modules of each molecular subgroup and its biological function. …"

Table3_Integrated genomic analysis defines molecular subgroups in dilated cardiomyopathy and identifies novel biomarkers based on machine learning methods.docx حسب Ling-Fang Ye (14578280)

"…We also adopted Weighted gene co-expression network analysis (WGCNA) analysis based on subgroup‐specific signatures of gene expression profiles to further explore the specific gene modules of each molecular subgroup and its biological function. …"

Table5_Integrated genomic analysis defines molecular subgroups in dilated cardiomyopathy and identifies novel biomarkers based on machine learning methods.docx حسب Ling-Fang Ye (14578280)

"…We also adopted Weighted gene co-expression network analysis (WGCNA) analysis based on subgroup‐specific signatures of gene expression profiles to further explore the specific gene modules of each molecular subgroup and its biological function. …"

Silibinin solubilization: combined effect of co-solvency and inclusion complex formation حسب Azam Dehghan (18434551)

"…</p> <p>SLB solubility in a buffered solution supplemented by ethanol co-solvent and HP-β-CD complexing agent is a function of free drug present in the semi-aqueous media, the drug-ligand binary complex, and the drug/ligand/co-solvent ternary complex.…"

Relative abundances of signaling functions across initial GA-LR pairs. حسب Erick Armingol (5125595)

Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. حسب Gursimran Singh (575288)

الموضوعات:

The training process for PV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. حسب Hiam Alquran (17636906)

The training process for AV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. حسب Hiam Alquran (17636906)

The training process for TV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. حسب Hiam Alquran (17636906)

The training process for MV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. حسب Hiam Alquran (17636906)

SARS-CoV-2 pseudoknot predictions overlap, 222 nt window via Shapify. حسب Luke Trinity (6792770)

FFD control body frame diagram. حسب Yesong Wang (331723)

"…We propose two distinct spline function parameterization techniques: a global mapping model for Bezier surfaces and a local mapping model for Free-Form Deformation (FFD) control bodies. …"

Construction of weighted co-expression network related datasets and identification of related key modules. حسب Wenlong Kuang (20485167)

الموضوعات: