Top Tweets for #CoExpression
Attention co-expression users! We have developed a new method (TEA-GCN) to construct co-expression networks that achieves better performance and explainability than state-of-the art. 1/3 https://t.co/DOJ2uD7PMG #method #coexpression #network
Hybrid performance evaluation and genome-wide association analysis of root system architecture in a maize #association population
The genetic architecture of #RSA traits was dissected by #GWAS and #coexpression networks analysis in maize population
https://t.co/1YCj0JQN1w
Check out this cool story led by @shiblahmed and @DiatomsBacteria @NYUAbuDhabi on Molecular mechanisms of #microbiome modulation by the eukaryotic secondary metabolite azelaic acid https://t.co/MNI4C0yBT3.… via @elife #transcriptomics #TF #coexpression #networks #metabolomics
In this #review, Anastasia Apodiakou and @RainerHoefgen utilise the gene #coexpression database, #ATTED-II, to provide new insights into the regulation of #plant #metabolism by O-acetylserine, including the prominence of transcription factor, EIL3/SLIM1
https://t.co/oKla5f8MF9
#jcdd #RecommendedPaper
"The Identification and Validation of #HubGenes Associated with Acute #MyocardialInfarction Using Weighted #Gene #CoExpression Network Analysis" https://t.co/3urVODuegO
#cardiovascular #bioinformatics
@MDPIOpenAccess
@MedPharma_MDPI
🚨New article🚨
“Temporal and spatial auxin responsive networks in maize primary roots”
By Maxwell McReynolds et al.
👉https://t.co/64XZauTea2
#auxin #coexpression #generegulation #maize #networks #roots 🌱
@JustinWWalley @KelleyDior @melissa_draves @LinkanDash6 @dormichicken
Geo @geo_pertea presented part 1/2 of "Robust #normalization and transformation techniques for constructing gene #coexpression networks"
Lots of awesome background information and critical thinking!
#RNAseq #bioinformatics
📜 https://t.co/8gFroB6ec9
🎥 https://t.co/CBK2uKZjUR
Conversely to the widely varying cell-to-cell expression ratios achieved in conventional co-expression strategies, #biosensor #coexpression from #CASPAM takes place at a defined ratio, remaining virtually constant within the entire dynamic range
High hydrolytic efficiency for the viral 2A sequences cleavage, #coexpression, and proper folding of the single #homoFRET #biosensors was successfully achieved from a single ORF in the #CASPAM arrangement
scSNV: accurate dscRNA-seq SNV #coexpression analysis using duplicate tag collapsing.
A great method to increase variant calling in #singlecell data and calculate variant coexpression!
#genomics #bioinformatics #rnaseq #transcriptomics
https://t.co/iqo6sXMVKT
Comparing #correlation coefficients
#Pearson: ok
#Spearman: classy
#Kendall: last used in 1938
Let's save Kendall correlation!
#coexpression #cooccurrence #genenetworks
Hot off the press 📰 👀 Our #5HT #cell paper is finally out! We characterised 5HT cells along the #gut by their #morphology, #hormone #coexpression, and interaction with #nerves.
Read it here: https://t.co/305lJFo7Or
@SpringerCellBio @ctr_springer @TheFlorey @UniMelbMDHS
Evolutionary conservation and divergence of the human brain transcriptome | Genome Biology
https://t.co/ZqtwluYrOv
#coexpression
❗️Just accepted in Histochemistry and Cell Biology❗️
We defined types of #5HT #cells along the #gut by examining #morphologies, patterns of #hormone #coexpression, and the relationship of 5-HT cells with #nerve fibres.
⬇️ A surprising key finding by @adakoo126. Stay tuned!
Recent article from my group. With @almeidasilvaf , @moharana_kc and @fbm2003 . Nice job, guys!
#soybean #networks #coexpression #genomics
https://t.co/lLP2mnKqgE
5/8 We built a #coexpression #network and identified modules of genes that were significantly enriched for the differential expression signature. These modules were also enriched for cell type specific gene expression and pathways that are consistent with #immune dysregulation.
Pleased to share our new paper. Cheng CW, Beech DJ, Wheatcroft SB. (2020). Advantages of CEMiTool for gene co-expression analysis of RNA-seq data. #bioinformatics #coexpression #rstat
https://t.co/gNhiBapvp8
In today’s episode on #ProticolsFromHome” series, I will talk about how to derive transcriptional regulatory inferences from gene expression data! https://t.co/onT7TQHt7P #CoExpression #GeneRegulatory #Networks. #RNASeq #BioinformaticsTraining @BioInfoCambs @TIGR2ESS @plantsci
Gene expression difference between #abalone that are susceptible and resilient to heat stress #SummerMortality #coexpression #ClimateChange #aquaculture @CSTFA_JCU @jcu @arc_gov_au @FAOfish https://t.co/Z2sU8cv8OQ
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