Forwarded from Bioinformatics
πGraph representation learning in bioinformatics: trends, methods and applications
πJournal: Briefings in Bioinformatics (I.F.=11.622)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#review #graph_representation_learning
πJournal: Briefings in Bioinformatics (I.F.=11.622)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#review #graph_representation_learning
π Co-expression network analysis using RNA-Seq data
π₯Free recorded tutorial on Co-expression network analysis using RNA-Seq data presented at the ISCB DC Regional Student Group Workshop at the University of Maryland β College Park (June 15 2016).
πΉThis tutorial provide a simple overview of co-expression network analysis, with an emphasis on the use of RNA-Seq data.A motivation for the use of co-expression network analysis is provided and compared to other common types of RNA-Seq analyses such as differential expression analysis and gene set enrichment analysis. The use of adjacency matrices to represent networks is explored for several different types of networks and a small synthetic dataset is used to demonstrate each of the major steps in co-expression network construction and module detection. The tutorial portion of the presentation then applies some of these principles using a real dataset containing ~3000 genes, after filtering.
π½Watch
π±Channel: @ComplexNetworkAnalysis
#video #Co_expression_network #RNA_Seq
π₯Free recorded tutorial on Co-expression network analysis using RNA-Seq data presented at the ISCB DC Regional Student Group Workshop at the University of Maryland β College Park (June 15 2016).
πΉThis tutorial provide a simple overview of co-expression network analysis, with an emphasis on the use of RNA-Seq data.A motivation for the use of co-expression network analysis is provided and compared to other common types of RNA-Seq analyses such as differential expression analysis and gene set enrichment analysis. The use of adjacency matrices to represent networks is explored for several different types of networks and a small synthetic dataset is used to demonstrate each of the major steps in co-expression network construction and module detection. The tutorial portion of the presentation then applies some of these principles using a real dataset containing ~3000 genes, after filtering.
π½Watch
π±Channel: @ComplexNetworkAnalysis
#video #Co_expression_network #RNA_Seq
YouTube
DC ISCB Workshop 2016 - Co-expression network analysis using RNA-Seq data (Keith Hughitt)
Overview
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Tutorial on Co-expression network analysis using RNA-Seq data presented at the ISCB DC Regional Student Group Workshop at the University of Maryland - College Park (June 15 2016).
Abstract
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In this presentation, I provideβ¦
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Tutorial on Co-expression network analysis using RNA-Seq data presented at the ISCB DC Regional Student Group Workshop at the University of Maryland - College Park (June 15 2016).
Abstract
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In this presentation, I provideβ¦
π1
πCOVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data
πJournal: JOURNAL OF MEDICAL INTERNET RESEARCH (I.F=7.076)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #COVID_19 #5G_Conspiracy #Twitter
πJournal: JOURNAL OF MEDICAL INTERNET RESEARCH (I.F=7.076)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #COVID_19 #5G_Conspiracy #Twitter
πSBEToolbox: A Matlab Toolbox for Biological Network Analysis
πJournal: Evolutionary Bioinformatics (I.F= 1.625)
πPublish year: 2012
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Matlab #tool #Biological_Network
πJournal: Evolutionary Bioinformatics (I.F= 1.625)
πPublish year: 2012
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Matlab #tool #Biological_Network
2020_Social Network Analysis using Python Data Mining.pdf
829.6 KB
πSocial Network Analysis using Python Data Mining
πConference: International Conference on Cyber and IT Service Management (CITSM)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Python #Data_Mining
πConference: International Conference on Cyber and IT Service Management (CITSM)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Python #Data_Mining
π Financial Network Analysis using Python
π₯Free recorded tutorial on Financial Network Analysis using Python by Kalyan Prasad (Data Scientist & Analytics Manager at Creative Crewz).
πΉTo model the stock market using network analysis, different stocks are represented as different nodes. However, defining the interaction, or creating edges, between different nodes is rather non-intuitive, unlike some physical networks, such as friendship network, in which interaction between different nodes can be defined explicitly. A traditional way to create edges between different nodes for stock market is to look at the correlations of some defined attributes. In this tutorial analyze one of the reputed stock index data and identifies stock relationships in it. and propose a model that can depict such relationships and create networks of stocks.and investigate and create different networks according to the degree of correlation of stocks.
π½Watch
π±Channel: @ComplexNetworkAnalysis
#video #Financial #Python
π₯Free recorded tutorial on Financial Network Analysis using Python by Kalyan Prasad (Data Scientist & Analytics Manager at Creative Crewz).
πΉTo model the stock market using network analysis, different stocks are represented as different nodes. However, defining the interaction, or creating edges, between different nodes is rather non-intuitive, unlike some physical networks, such as friendship network, in which interaction between different nodes can be defined explicitly. A traditional way to create edges between different nodes for stock market is to look at the correlations of some defined attributes. In this tutorial analyze one of the reputed stock index data and identifies stock relationships in it. and propose a model that can depict such relationships and create networks of stocks.and investigate and create different networks according to the degree of correlation of stocks.
π½Watch
π±Channel: @ComplexNetworkAnalysis
#video #Financial #Python
YouTube
Financial Network Analysis using Python | Kalyan Prasad | Conf42 Python 2022
Kalyan Prasad
Data Scientist & Analytics Manager at Creative Crewz
Historically, networks have been studied extensively in graph theory, an area of mathematics. After many applications to several different subjects including physics, health science, andβ¦
Data Scientist & Analytics Manager at Creative Crewz
Historically, networks have been studied extensively in graph theory, an area of mathematics. After many applications to several different subjects including physics, health science, andβ¦
πΉ Collect, process and visualize Instagram social network
π₯In this video, we will collect social data from Instagram, process it using Python and then create a graph with Gephi,
π Watch
π²Channel: @ComplexNetworkAnalysis
#video #python #gephi #instagram
π₯In this video, we will collect social data from Instagram, process it using Python and then create a graph with Gephi,
π Watch
π²Channel: @ComplexNetworkAnalysis
#video #python #gephi #instagram
YouTube
Collect, Process, Visualize - Programming Social Graphs (Instagram, Python, Gephi)
Introduction to network analysis on a real-world example. In this video, we will collect social data from Instagram, process it using Python and then create a graph with Gephi, an open-source graph visualization and exploration tool. I will demonstrate theβ¦
π1
πPicture This: How Graph Analytics Simplifies Complex Insights
π₯Technical paper
π Study
π²Channel: @ComplexNetworkAnalysis
#paper #Graph
π₯Technical paper
π Study
π²Channel: @ComplexNetworkAnalysis
#paper #Graph
CIO
Picture This: How Graph Analytics Simplifies Complex Insights
With the advancement of computational platforms and corresponding software, enterprises have huge opportunities to leverage graph technology to create competitive advantages over their peers.
πStudying Fake News via Network Analysis: Detection and Mitigation
πIn book: Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining (pp.43-65)
πPublish year: 2018
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Fake_News #Detection #Mitigation
πIn book: Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining (pp.43-65)
πPublish year: 2018
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Fake_News #Detection #Mitigation
π Getting Started with Network Data Using Gephi
π₯Free recorded workshop from UCR Library
πΉIn this workshop, you'll become familiar with essential vocabulary and concepts related to network graphs and network analysis while gaining experience with Gephi's interface and tools for analyzing and visualizing networks.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Gephi
π₯Free recorded workshop from UCR Library
πΉIn this workshop, you'll become familiar with essential vocabulary and concepts related to network graphs and network analysis while gaining experience with Gephi's interface and tools for analyzing and visualizing networks.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Gephi
YouTube
Getting Started with Network Data Using Gephi
In this workshop, you'll become familiar with essential vocabulary and concepts related to network graphs and network analysis while gaining experience with Gephi's interface and tools for analyzing and visualizing networks.
π1
πGraph neural networks: A review of methods and applications
πJournal: AI Open(I.F= 14.05)
πPublish year: 2020
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #GNN #review
πJournal: AI Open(I.F= 14.05)
πPublish year: 2020
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #GNN #review
π1
πA Gentle Introduction to Graph Neural Network
π₯Technical paper
π Study
π²Channel: @ComplexNetworkAnalysis
#paper #GNN
π₯Technical paper
π Study
π²Channel: @ComplexNetworkAnalysis
#paper #GNN
Introduction to Neural Networks Using PyTorch.pdf
308.2 KB
πIntroduction to Neural Networks Using PyTorch
πAuthors: Pradeepta Mishra
π₯Deep neural networkβbased models are gradually becoming the backbone for artificial intelligence and machine learning implementations. The future of data mining will be governed by the usage of artificial neural networkβbased advanced modeling techniques. One obvious question is why neural networks are only now gaining so much importance, because they were invented in 1950s.
π publish year: 2022
π Study book
π²Channel: @ComplexNetworkAnalysis
#book #Python #code
πAuthors: Pradeepta Mishra
π₯Deep neural networkβbased models are gradually becoming the backbone for artificial intelligence and machine learning implementations. The future of data mining will be governed by the usage of artificial neural networkβbased advanced modeling techniques. One obvious question is why neural networks are only now gaining so much importance, because they were invented in 1950s.
π publish year: 2022
π Study book
π²Channel: @ComplexNetworkAnalysis
#book #Python #code
π2
2021_A_systematic_review_of_network_analysis_studies_in_eating_disorders.pdf
533.5 KB
πA systematic review of network analysis studies in eating disorders: Is time to broaden the core psychopathology to non specific symptoms
πJournal: EUROPEAN EATING DISORDERS REVIEW (I.F=5.36)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #eating_disorders #broaden #psychopathology #symptoms #review
πJournal: EUROPEAN EATING DISORDERS REVIEW (I.F=5.36)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #eating_disorders #broaden #psychopathology #symptoms #review
πReversibility of link prediction and its application to epidemic mitigation
πJournal: scientific reports (I.F= 4.379)
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction
πJournal: scientific reports (I.F= 4.379)
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction
2020_Statistical Network Analysis A Review.pdf
875.3 KB
πStatistical Network Analysis: A Review with Applications to the Coronavirus Disease 2019 Pandemic
πJournal: INTERNATIONAL STATISTICAL REVIEW (I.F=1.946)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Application #Coronavirus #review
πJournal: INTERNATIONAL STATISTICAL REVIEW (I.F=1.946)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Application #Coronavirus #review
πApplied Social Network Analysis in Python by University of Michigan on Coursera
π₯Free course by Daniel Romero
π»Codes
π²Channel: @ComplexNetworkAnalysis
#code #course #Social_Network #python
π₯Free course by Daniel Romero
π»Codes
π²Channel: @ComplexNetworkAnalysis
#code #course #Social_Network #python
GitHub
GitHub - sambhipiyuushh/Applied-Social-Network-Analysis-in-Python-University-of-Michigan: Applied Social Network Analysis in Pythonβ¦
Applied Social Network Analysis in Python by University of Michigan on Coursera - sambhipiyuushh/Applied-Social-Network-Analysis-in-Python-University-of-Michigan
2021_A_survey_on_graph_based_methods_for_similarity_searches_in.pdf
1.6 MB
πA survey on graph-based methods for similarity searches in metric spaces
πJournal: Information Systems(I.F=7.453)
πPublish year: 2021
π²Channel: @ComplexNetworkAnalysis
#paper #survey #graph
πJournal: Information Systems(I.F=7.453)
πPublish year: 2021
π²Channel: @ComplexNetworkAnalysis
#paper #survey #graph
π Getting Started with Network Analytics in Python
π₯Free recorded tutorial by Eric Sims
πΉThis tutorial is about DataTalks.Club (the place to talk about data)
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Python
π₯Free recorded tutorial by Eric Sims
πΉThis tutorial is about DataTalks.Club (the place to talk about data)
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Python
YouTube
Getting Started with Network Analytics in Python - Eric Sims
Links:
- Code: https://github.com/EricPostMaster/getting-started-with-network-analysis-in-python
- Eric's LinkedIn: https://www.linkedin.com/in/ericsims2/
- Graph data: https://snap.stanford.edu/data/index.html
- 100 days of networks: https://www.linkeβ¦
- Code: https://github.com/EricPostMaster/getting-started-with-network-analysis-in-python
- Eric's LinkedIn: https://www.linkedin.com/in/ericsims2/
- Graph data: https://snap.stanford.edu/data/index.html
- 100 days of networks: https://www.linkeβ¦
Social_Network_Theory_in_Construction_Industry_A_Scientometric_Review.pdf
414.4 KB
πSocial Network Theory in Construction Industry: A Scientometric Review
πConference: Recent Trends in Civil Engineering
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Review #Social_Network
πConference: Recent Trends in Civil Engineering
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Review #Social_Network