Data_Sheet_1_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.PDF حسب Hong Gu (68558)

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Data_Sheet_1_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.PDF حسب Hong Gu (68558)

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The convergence curves of the test functions. حسب Ruiyu Zhan (21602031)

"…Notably, the F1-scores, which balance precision and recall, were 0.69 for miRNA expression, 0.65 for gene expression, and 0.62 for DNA methylation. …"

Single-peaked reference functions. حسب Ruiyu Zhan (21602031)

"…Notably, the F1-scores, which balance precision and recall, were 0.69 for miRNA expression, 0.65 for gene expression, and 0.62 for DNA methylation. …"

Fitness comparison on test function. حسب Kejia Liu (5699651)

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DataSheet1_Mathematical algorithm–based identification of the functional components and mechanisms in depression treatment: An example of Danggui-Shaoyao-San.docx حسب Wenxia Gong (13277883)

"…Then the functional components group (FCG) comprising 40 components was traced from CIM based on the target coverage accumulation algorithm, after which the pathways enriched by the target genes of FCG were selected to elucidate the potential mechanisms of DSS in treating depression. …"

IFS curves of two classification algorithms based on feature list yielded by MCFS. حسب Zhan Dong Li (12481390)

Constructing the dynamical law. حسب Robert Marsland (8616483)

Definitions of global parameters used for constructing random ecosystems. حسب Robert Marsland (8616483)

eVIP identifies functional differences between two RNF43 frameshift mutations. حسب Alexis M. Thornton (11068403)

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Test results of multimodal benchmark functions. حسب Ruiyu Zhan (21602031)

"…Notably, the F1-scores, which balance precision and recall, were 0.69 for miRNA expression, 0.65 for gene expression, and 0.62 for DNA methylation. …"

Fixed-dimensional multimodal reference functions. حسب Ruiyu Zhan (21602031)

"…Notably, the F1-scores, which balance precision and recall, were 0.69 for miRNA expression, 0.65 for gene expression, and 0.62 for DNA methylation. …"

Test results of multimodal benchmark functions. حسب Ruiyu Zhan (21602031)

"…Notably, the F1-scores, which balance precision and recall, were 0.69 for miRNA expression, 0.65 for gene expression, and 0.62 for DNA methylation. …"

KEGG analysis bubble plot for other four module. حسب Zongjin Li (38031)

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Visualization for the module 1. حسب Zongjin Li (38031)

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Clustering performance comparison. حسب Zongjin Li (38031)

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Heat map analysis of the biomarkers. حسب Zongjin Li (38031)

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Comparison with published methods. حسب Zongjin Li (38031)

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GO analysis bubble plot for module 1. حسب Zongjin Li (38031)

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Pathway analysis bubble plot for module 1. حسب Zongjin Li (38031)

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