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Gene expression profiling of chronic lung disease for the Lung Genomics Research Consortium

GSE47460 Homo sapiens (human) Expression microarray 582 samples Submitted 2013/05/30 Platform GPL6480Platform GPL14550
At a glance

Expression microarray · human · 582 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Samples
582 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Microarray data from total RNA extracted from whole lung homogenate from subjects undergoing thoracic surgery. These subjects were diagnosed as being controls or having interstitial lung disease or COPD as determined by clinical history, CT scan, and surgical pathology. There was no intervention, these are cross-sectional data. All samples are from the Lung Tissue Research Consorium (LTRC and are indexed by their LTRC tissue label).
This dataset
Download · which file do I need?

Direct links to NCBI, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE47460_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.

Also filed as BioProject PRJNA205823. Searching any of these in the dataset finder brings you back here.

Samples in this study

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