Published January 14, 2020 | Version 1.0
Dataset Open

Predicting gene expression using morphological cell responses to nanotopography

Description

This dataset contains the raw files, results files and R workspace files (.RData) associated with the paper:

Predicting gene expression using morphological cell responses to nanotopography

Please note that this dataset is separated according to the Figure presented in the published and peer-reviewed version of the manuscript. Particular folders contain its own README file to facilitate reproduction/replication of results and figures. 

Files

Figure2.zip

Files (22.2 GB)

Name Size Download all
md5:895a8310fa96d2ee442f40a81abc4c3a
17.1 MB Preview Download
md5:55eaf898ee09a52dab7d0bf996195bf9
24.4 kB Preview Download
md5:ca6a7989c955b4f34e56c095e510225c
35.3 MB Preview Download
md5:7e2cc9755a8e5add7ead50244e2cf911
718.6 MB Preview Download
md5:e5ec2dc3a6987810362c1d4e04e54b8b
9.4 GB Preview Download
md5:f53fac5d53395c73ff924fd083d55f99
542.8 MB Preview Download
md5:d2f6516de2bfb33098a8aba8f2fd44eb
11.4 GB Preview Download
md5:cc3b730327c3550a491de21368a63a8d
1.0 kB Preview Download
md5:bfd5ec200738f050d797df55494d3bfa
24.1 MB Preview Download

Additional details

Funding

FAKIR – Focal Adhesion Kinetics In nanosurface Recognition 648892
European Commission