Example of the CNF function for off-axis DHM holograms recorded in a non-telecentric configuration. حسب Raul Castañeda (13932971)

Table_1_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.XLSX حسب Hong Gu (68558)

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Table_1_FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.XLSX حسب Hong Gu (68558)

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

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Analyses of Immune microenvironment and functions between gene clusters حسب Jiangli Zhao (2308330)

Functional enrichment analysis of DE-FRGs. حسب Yan Huang (46805)

The gene set related to the “Cytotoxicity” and “Progenitor exhaustion” function of T cells. حسب Yanfeng Xue (465345)

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Top 15 hub genes in five algorithms. حسب Tianqi Liu (1625776)

Machine learning analysis of 10 hub genes related to SCI was performed using eight algorithms applied to the dataset. حسب Tianbao Feng (21722233)

Supplementary Table 3 from A Novel Functional Splice Variant of <i>AKT3</i> Defined by Analysis of Alternative Splice Expression in HPV-Positive Oropharyngeal Cancers حسب Theresa Guo (687267)

Supplemental Table 2 from A Novel Functional Splice Variant of <i>AKT3</i> Defined by Analysis of Alternative Splice Expression in HPV-Positive Oropharyngeal Cancers حسب Theresa Guo (687267)

Supplemental Table 1 from A Novel Functional Splice Variant of <i>AKT3</i> Defined by Analysis of Alternative Splice Expression in HPV-Positive Oropharyngeal Cancers حسب Theresa Guo (687267)

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

الموضوعات:

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 three-dimensional surface of designed cost function under five square inputs. حسب Wei Zhang (405)

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. …"

Studies on <i>Agrobacterium</i>-mediated gene transformation of chrysanthemums using <i>GUS</i> gene. حسب Mohsen Hesami (6917390)

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Our algorithms process large data sets within a minute. حسب Manu Aggarwal (15990691)