Select conditions below to toggle them from the plot:
GROUP | CONDITION | SAMPLES |
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Skin |
GSM4288333 GSM4288335 GSM4288336 GSM4288337 GSM4288338 GSM4288339 GSM4288340 GSM4288341 GSM4288342 GSM4288343 GSM4288344
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GSM4288318 GSM4288319 GSM4288320 GSM4288321 GSM4288322 GSM4288323 GSM4288324 GSM4288325 GSM4288327 GSM4288328 GSM4288329 GSM4288330 GSM4288332
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Submission Date: Jan 29, 2020
Summary: We investigated genome wide changes in gene expression in skin between patients with type 2 diabetes and non-diabetic patients using next generation sequencing. We compared the gene expression in skin samples taken from 27 patients (13 with type 2 diabetes and 14 non-diabetic).
GEO Accession ID: GSE144441
PMID: No Pubmed ID
Submission Date: Jan 29, 2020
Summary: We investigated genome wide changes in gene expression in skin between patients with type 2 diabetes and non-diabetic patients using next generation sequencing. We compared the gene expression in skin samples taken from 27 patients (13 with type 2 diabetes and 14 non-diabetic).
GEO Accession ID: GSE144441
PMID: No Pubmed ID
Signatures:
Control Condition
Perturbation Condition
Only conditions with at least 1 replicate are available to select
This pipeline enables you to analyze and visualize your bulk RNA sequencing datasets with an array of downstream analysis and visualization tools. The pipeline includes: PCA analysis, Clustergrammer interactive heatmap, library size analysis, differential gene expression analysis, enrichment analysis, and L1000 small molecule search.