Table_S5

Dryad2019-01-01 更新2026-04-13 收录

共表达网络分析

转录组数据分析

数据链接：

https://datadryad.org/resource/doi:10.5061/dryad.b412jp5/12 数据链接链接失效反馈

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资源简介：

Contigs in significant modules of WGCNA in T. americanus generated using R packages WGCNA v.1.64-1, ggpubr v.0.1.8, DESeq2 v.1.16.1.

创建时间：

2019-01-01

Module disruption results for all WGCNA modules.

共表达网络分析

酒精暴露基因调控

Module disruption results include module size in probesets, correlation of total connectivity between the CIE drinking group and the Air NonDrinking group (mod.cor.kME), mean correlation of total conn

NIAID Data Ecosystem110

Additional file 2 of Comprehensive Evaluation and Analysis of the Mechanism of Cold Tolerance Based on the Transcriptome of Weedy Rice Seedlings

作物耐寒性

转录组数据分析

Additional file 2: Table S2. The value of comprehensive index for each variety.

Figshare2024-02-16 更新60

Additional file 11 of Preservation affinity in consensus modules among stages of HIV-1 progression

HIV-1疾病进展

共表达网络分析

List of the most connected expressed common genes (MCECG) in each category of modules. (XLSX 76.2 kb)

Figshare2017-03-21 更新30

Additional file 9 of Comparative neurotranscriptomics reveal widespread species differences associated with bonding

神经细胞转录组学

共表达网络分析

Additional file 9: Supplementary Table 9. Statistics for meadow vole WGCNA modules with significant correlations.

DataCite Commons2021-06-01 更新60

Additional file 8 of Integrated weighted gene co-expression network analysis and machine learning analysis identifies SEC14L5 as a potential biomarker for polycystic ovary syndrome

多囊卵巢综合征生物标志物

共表达网络分析

Supplementary Material 8.

NIAID Data Ecosystem30

Table_S5

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