📄Centrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks
📘Journal: SAGE(I.F=1.356)
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #centrality #Biological_Networks #Gene_Regulatory_Networks
📘Journal: SAGE(I.F=1.356)
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #centrality #Biological_Networks #Gene_Regulatory_Networks
👍1
📄Recent Advances in Network-based Methods for
Disease Gene Prediction
📘journal: Briefings in bioinformatics (I.F= 9.5)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Advances #Network_based_Methods #Disease #Gene #Prediction
Disease Gene Prediction
📘journal: Briefings in bioinformatics (I.F= 9.5)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Advances #Network_based_Methods #Disease #Gene #Prediction
Forwarded from Bioinformatics
🎓 Towards causality in gene regulatory network inference
📔PhD Thesis from Massachusetts Institute of Technology
🗓Publish year: 2023
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #gene_regulatory
📔PhD Thesis from Massachusetts Institute of Technology
🗓Publish year: 2023
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #gene_regulatory
Forwarded from Bioinformatics
🎓Comparing link prediction and classification for Gene-Disease association discovery
📕MSc thesis from University of Lisbon, Portugal
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #gene_disease #Link_prediction
📕MSc thesis from University of Lisbon, Portugal
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #gene_disease #Link_prediction
❤2
📃From time-series transcriptomics to gene regulatory networks: A review on inference methods
🗓 Publish year: 2023
📘Journal: PLOS Computational Biology
🧑💻Authors: Malvina Marku ,Vera Pancaldi
🏢Universities: University of Toulouse III-Paul Sabatier, France
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #time_series #transcriptomics #gene #inference #review
🗓 Publish year: 2023
📘Journal: PLOS Computational Biology
🧑💻Authors: Malvina Marku ,Vera Pancaldi
🏢Universities: University of Toulouse III-Paul Sabatier, France
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #time_series #transcriptomics #gene #inference #review
👍3❤1
Forwarded from Bioinformatics
🎓New graph learning approaches for exploring gene and protein function
📗Doctoral Thesis from ETH Zurich
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #network #gene #protein #graph #deep_learning #gnn
📗Doctoral Thesis from ETH Zurich
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #network #gene #protein #graph #deep_learning #gnn
📃Recent advances in network-based methods for disease gene prediction
🗓 Publish year: 2020
📘Journal: Briefings in Bioinformatics (I.F=6.8)
🧑💻Authors: Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh and Xiao-Li Li
🏢Universites: Nanyang Technological University (NTU),
Singapore Management University, Singapore,
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #disease #gene #prediction
🗓 Publish year: 2020
📘Journal: Briefings in Bioinformatics (I.F=6.8)
🧑💻Authors: Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh and Xiao-Li Li
🏢Universites: Nanyang Technological University (NTU),
Singapore Management University, Singapore,
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #disease #gene #prediction
👍2❤1
Forwarded from Bioinformatics
📑 A review of methods for gene regulatory networks reconstruction and analysis
📕 Journal: Artificial Intelligence Review (I.F.=10.7)
🗓Publish year: 2025
🧑💻Authors: Sura I. Mohammed Ali & Sura Zaki Alrashid
🏢Universities: University of Babylon, Iraq
📎 Study the paper
📲Channel: @Bioinformatics
#review #gene #grn #gene_regulatory
📕 Journal: Artificial Intelligence Review (I.F.=10.7)
🗓Publish year: 2025
🧑💻Authors: Sura I. Mohammed Ali & Sura Zaki Alrashid
🏢Universities: University of Babylon, Iraq
📎 Study the paper
📲Channel: @Bioinformatics
#review #gene #grn #gene_regulatory
❤1👍1