To identify the most relevant BMP ligands, we used unbiased gene co-expression analysis to identify all BMP family members having a significant positive correlation with five markers of dopaminergic neurons in the human substantia nigra (SN). We then tested the ability of lead BMPs to promote ...
3a, where the projection of disease-specific switch gene products (disease-specific switch proteins) on the PPI network, denoted the Disease Switch Gene Network (DSGN), is represented. In the DSGN, disease-specific switch proteins with their corresponding interactions are colored based on the ...
Biclustering has also been applied to single-cell RNA-seq data. Because biclustering groups genes and samples simultaneously, it enabled the simultaneous identification of groups of cell types and corresponding gene modules to reveal 49 different cell types and their corresponding cell-type-specific gene...
Column 3; Pearson's correlation coefficient of gene expression pattern 下载后的数据如下图 Sce.v14-08.G4461-S3819.rma.mrgeo.d文件夹包含4461个文件 每个文件含有4461行对应4461个GENE ID 下载uniport数据 和前面同样一个问题,它这数据只给了3列,第一列Entrez Gene ID,第二列MR,第三列COR。 蛋白质和E...
方法/步骤 1 根据基因在样本中的信号表达值，利用基因间的相互作用（相关系数）来拟合基因的无标度网络关系，构建基因间的共表达网络，结果样式如图。点：图中每个圆点代表一个基因。2 颜色：对于两分组（例如实验组和对照组），红色点为上调基因，蓝色为下调基因，对于多分组（例如 组1，组2，组3），由于差异...
1YEASTGeneCo-expressionNetworkAnalysisRTutorialSteveHorvathCorrespondence:shorvath@mednet.ucla.edu,http://.ph.ucla.edu/biostat/people/horva..
(P < 0.05) different across groups in liver and testis, respectively. The log-transformed fold change of the DE genes in liver and testis ranged from −3.39 to 2.96 and −7.51 to 3.53, showing substantial gene expression differences. The top significant DE genes wereMORN2,AASDHPPT,...
Plachetzki DC, Pankey MS, Johnson BR, Ronne EJ, Kopp A, Grosberg RK. 2014. Gene co- expression modules underlying polymorphic and monomorphic zooids types in the colonial hydrozoan Hydractinia symbiologicarpus. Integr Comp Biol 54:276-83....
Gene co-expression analyses of health(span) across multiple species doi:10.1093/nargab/lqac083NAR Genomics & BioinformaticsMller, SteffenSaul, NadineProjahn, EliasBarrantes, IsraelGézsi, AndrásWalter, MichaelAntal, PéterFuellen, Georg
We used whole-transcriptome gene expression data from human brain samples originating from 101 neuropathologically normal individuals (10 brain regions) to generate weighted gene co-expression networks and cluster the 10 known NBIA genes in an unsupervised manner. We investigated NBIA-enriched networks...