L1000 Connectivity Map perturbational profiles from Broad Institute LINCS Center for Transcriptomics LINCS PHASE *II* (n=354,123; updated March 30, 2017) (Level 5 data)
LINCS

GSE70138_Broad_LINCS_Level5_COMPZ_n118050x12328_2017-03-06.gctx.gz 5.37GB
Type: Dataset
Tags:

Metadata:
@article{,
title= {L1000 Connectivity Map perturbational profiles from Broad Institute LINCS Center for Transcriptomics LINCS PHASE *II* (n=354,123; updated March 30, 2017) (Level 5 data)},
keywords= {},
author= {LINCS},
abstract= {The Library of Integrated Cellular Signatures (LINCS) is an NIH program which funds the generation of perturbational profiles across multiple cell and perturbation types, as well as read-outs, at a massive scale. The LINCS Center for Transcriptomics at the Broad Institute uses the L1000 high-throughput gene-expression assay to build a Connectivity Map which seeks to enable the discovery of functional connections between drugs, genes and diseases through analysis of patterns induced by common gene-expression changes.

This is Level 5 data:

GSE70138_Broad_LINCS_Level5_COMPZ_n118050x12328_2017-03-06.gctx.gz

Series GSE70138

L1000 data is provided at five levels of the data processing pipeline:

	Level 1: Raw unprocessed flow cytometry data from Luminex (LXB)
	Level 2: Gene expression values per 1000 genes after deconvolution (GEX)
	Level 3: Quantile-normalized gene expression profiles of landmark genes and imputed transcripts (Q2NORM or INF)
	Level 4: Gene signatures computed using z-scores relative to the plate population as control (ZSPCINF) or relative to the plate vehicle control (ZSVCINF)
	Level 5: Differential gene expression signatures

https://i.imgur.com/zIeOFMt.png
},
terms= {},
license= {},
superseded= {},
url= {https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE70138},
year= {2017}
}

Citation:
LINCS. (2017). L1000 Connectivity Map perturbational profiles from Broad Institute LINCS Center for Transcriptomics LINCS PHASE *II* (n=354,123; updated March 30, 2017) (Level 5 data) [Data set]. Academic Torrents. https://academictorrents.com/details/99970027a2a6bd6eceb8b9113346f899a50e17be
Hosted by users

Send Feedback Start
   0.000006
DB Connect
   0.000607
Lookup hash in DB
   0.000554
Get torrent details
   0.000173
Get torrent details, finished
   0.000339
Get authors
   0.000030
Parse bibtex
   0.000173
Write header
   0.000295
get stars
   0.000138
home tab
   0.000184
render right panel
   0.000005
render ads
   0.000511
fetch current hosters
   0.000417
related datasets
   0.011419
Done