Tissue Transcriptome Driven Identification of Epidermal Growth Factor as a Chronic Kidney Disease Biomarker
Direct links to NCBI, no account and no request form: the whole study as GSE69438_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 42 samples.
Also filed as BioProject PRJNA285492. Searching any of these in the dataset finder brings you back here.
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+ 42 more — browse all 42 samples with per-sample file links →
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- GSE77087 Nasopharyngeal microbiota, host transcriptome and disease severity in children with respiratory syncytial virus infection 104 samples
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- GSE49710 RNA-Seq reveals an unprecedented complexity of the neuroblastoma transcriptome and is suitable for clinical endpoint prediction [microarray] 498 samples
- GSE48350 Alzheimer's Disease Dataset 253 samples
- GSE4271 Molecular subclasses of high-grade glioma: prognosis, disease progression, and neurogenesis 200 samples
- GSE76262 Expression data of induced sputum from Unbiased BIOmarkers in Prediction of REspiratory Disease outcomes (U-BIOPRED) Project 139 samples
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