Top Tweets for #NetworkInference
#N2SIMBA is a simulation framework designed to generate realistic #16S #rDNAseq count tables from known #microbialinteraction networks that leverages Microbial Consumer Resource Model. It provides in silico tool to systematically benchmark #networkinference methods.
Reconstructing networks from simple and complex contagions, Nicholas W. Landry, William Thompson, Laurent Hรฉbert-Dufresne, and Jean-Gabriel Young #NetworkInference @nwlandry @Will_H_Thompson @LHDnets @_jgyou https://t.co/vn3NJQCYF8
๐#BITS2024 conference was interesting and highly engaging!
We are proud that our researchers @MariottoPiero and Gaia successfully presented their remarkable work on #networkinference and #singlecell.
Check out on our GitLab https://t.co/JRPOFvm36L
Stay tuned!! ๐
Inference of dynamic hypergraph representations in temporal interaction data, Alec Kirkley #ComplexNetworks #NetworkInference @captainkirk1041 @hkudatascience https://t.co/GDUrJLOSZ6
Read #NewPaper "Algal Bloom Ties: Spreading Network Inference and Extreme Eco-Environmental Feedback" from Haojiong Wang et al. https://t.co/iQMwDPr4Bf
#spatial #networkinference
#biogeochemicalnetworks
#predictivecausality
#bloomprediction
#FloridaBay
syntenet: an R/Bioconductor package for the inference and analysis of synteny networks. #SyntenyDetection #NetworkInference #PhylogenomicProfiling #Bioinformatics https://t.co/ikqJhTmjmL
#SaintAntoineSingh-1
[#AppliedMathematics]
Current Opinion in #Biotechnology 63: 89โ98 (2020)
#NetworkInference in Systems #Biology: Recent Developments, Challenges, and Applications
Michael M. Saint-Antoine
Abhyudai Singh
M.t. Netzwerkrekonstruktion in der Systembiologie>
![LGcommaI's tweet photo. #SaintAntoineSingh-1
[#AppliedMathematics]
Current Opinion in #Biotechnology 63: 89โ98 (2020)
#NetworkInference in Systems #Biology: Recent Developments, Challenges, and Applications
Michael M. Saint-Antoine
Abhyudai Singh
M.t. Netzwerkrekonstruktion in der Systembiologie> https://t.co/2oXWFf1q40](https://pbs.twimg.com/media/Fk8suVPXoAATD0A.png)
Our work on 'Network reconstruction for trans acting genetic loci using multiโomics data and prior information' is finally out! Huge thanks to everyone involved! https://t.co/afNZZKVOuS #networkinference #multiomics @SpringerNature @GenomeMedicine @heinig_matthias
Benchmarking imputation methods for network inference using a novel method of synthetic scRNA-seq data generation. #scRNAseq #ImputationMethods #NetworkInference #Benchmarking #Bioinformatics
https://t.co/eHCCPvifeI @BMCBioinfo
Are you a researcher working remotely? Join us at 3PM for a #DataAnalysis workshop on #NetworkInference. Discover new ways to interpret #data. #UTDResearch
Last chance to register before the event! https://t.co/urcYj3uxdy
Tomorrow, June 10, at 3PM Drs. Justin Ruths, Faruck Morcos, and Tyler Summers will be discussing new ways to interpret the vast amount of data that has accumulated. #DataAnalysis #NetworkInference #UTDResearch
Advance registration is required at https://t.co/urcYj3uxdy
Join us this Wednesday for a #DataAnalysis 101 Workshop on tools for #NetworkInference with Drs. Justin Ruths, Faruck Morcos, and Tyler Summers.
Registration is available at https://t.co/urcYj3uxdy
Why #machinelearning? RT @annalisabarla: Veronica Tozzo discussing her PhD dissertation today #proudadvisor #phdlife #networkinference #machinelearningโฆ https://t.co/vUecDBAmBR
#mdpientropy Quantifying the Variability in Resting-State Networks https://t.co/IuiMb3Fs4g
#restingstatenetworks
#networkinference
#networktopology
Interested in #networkinference in #multiomics data? Might want to check out our (@fabian_theis , @heinig_matthias) recent review! Link: https://t.co/CijkqhMKhp #omics #dataintegration #epigenetics #generegulation
Interested in #networkinference in #multiomics data? Might want to check out our (@fabian_theis , @heinig_matthias) recent review! Link: https://t.co/CijkqhMKhp #omics #dataintegration #epigenetics #generegulation
Work from @VingronLab on a new take on graphical models allowing for non-linear associations between nodes using empirical distance covariance presented by Martin Vingron @recomb2019 - going from N to N^2 - exciting work for all us #networkinference guys!
Top story: @MickMenager: 'What a great user group meeting #10xUGM19. Thanks @10xGenomics for having invited me to present our latest data on #singlecell #networkinference to better understand rare autoinflammatory diseaโฆ, see more https://t.co/rtEVfIDB0Q
What a great user group meeting #10xUGM19. Thanks @10xGenomics for having invited me to present our latest data on #singlecell #networkinference to better understand rare autoinflammatory diseases @InstitutImagine
New @PLOSCompBiol research fr @RichBonneauNYU w/ Emily Miraldi et al on #NetworkInference exploring "previous integration strategies, such as batch-correction and model ensembles, & introduce a new multitask learning approach for joint network inference across several datasets"
Multi-study inference of regulatory networks for more accurate models of gene regulation | PLOS Computational Biology
https://t.co/htTHximd2f
#GeneNetwork #GeneRegulation
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