"integrating random walk" trang 11 - tải miễn phí từ tailieunhanh
Organizational behavior 13th Edition

Organizational behavior 13th Edition
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When user-centered design meets implementation science: Integrating provider perspectives in the development of an intimate partner violence intervention for women treated in the United States’ largest integrated healthcare system

When user-centered design meets implementation science: Integrating provider perspectives in the development of an intimate partner violence intervention for women treated in the United States’ largest integrated healthcare system
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Prognostic model for long-term survival of locally advanced non-small-cell lung cancer patients after neoadjuvant radiochemotherapy and resection integrating clinical and histopathologic factors

Prognostic model for long-term survival of locally advanced non-small-cell lung cancer patients after neoadjuvant radiochemotherapy and resection integrating clinical and histopathologic factors
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A computational model to predict bone metastasis in breast cancer by integrating the dysregulated pathways

A computational model to predict bone metastasis in breast cancer by integrating the dysregulated pathways
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Acceleration server 2004 of Microsoft internet security

Acceleration server 2004 of Microsoft internet security
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Tungsten oxide modified with carbon nanodots: Integrating adsorptive and photocatalytic functionalities for water remediation

Tungsten oxide modified with carbon nanodots: Integrating adsorptive and photocatalytic functionalities for water remediation
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Sparse reduced-rank regression for integrating omics data

Sparse reduced-rank regression for integrating omics data
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GeneSetCluster: A tool for summarizing and integrating gene‑set analysis results

GeneSetCluster: A tool for summarizing and integrating gene‑set analysis results
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A hierarchical integration deep flexible neural forest framework for cancer subtype classification by integrating multi-omics data

A hierarchical integration deep flexible neural forest framework for cancer subtype classification by integrating multi-omics data
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MLW-gcForest: A multi-weighted gcForest model towards the staging of lung adenocarcinoma based on multi-modal genetic data

MLW-gcForest: A multi-weighted gcForest model towards the staging of lung adenocarcinoma based on multi-modal genetic data
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A random walk-based method to identify driver genes by integrating the subcellular localization and variation frequency into bipartite graph

A random walk-based method to identify driver genes by integrating the subcellular localization and variation frequency into bipartite graph
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Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information

Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information
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Predicting combinative drug pairs towards realistic screening via integrating heterogeneous features

Predicting combinative drug pairs towards realistic screening via integrating heterogeneous features
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NaviSE: Superenhancer navigator integrating epigenomics signal algebra

NaviSE: Superenhancer navigator integrating epigenomics signal algebra
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EL_PSSM-RT: DNA-binding residue prediction by integrating ensemble learning with PSSM Relation Transformation

EL_PSSM-RT: DNA-binding residue prediction by integrating ensemble learning with PSSM Relation Transformation
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Lecture Professional Practices in IT: Lecture 12 - Saqib Iqbal

Lecture Professional Practices in IT: Lecture 12 - Saqib Iqbal
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Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model

Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model
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TCGA2BED: Extracting, extending, integrating, and querying the cancer genome atlas

TCGA2BED: Extracting, extending, integrating, and querying the cancer genome atlas
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Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data

Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data
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A semi-parametric statistical model for integrating gene expression profiles across different platforms

A semi-parametric statistical model for integrating gene expression profiles across different platforms
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