180716
doi
10.5281/zenodo.180716
oai:zenodo.org:180716
Sample datasets used in [Gil et al 2017] for AAAI 2017
Adusumilli, Ravali
Stanford School of Medicine
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
genomic analysis
proteomic analysis
scientific workflows
<p>This file includes the pointer to the 42 patient ids and zip file names of the 84 genomic and proteomic datasets used for the paper "Gil, Y, Garijo, D, Ratnakar, V, Mayani, R, Adusumilli, A, Srivastava, R, Boyce, H, Mallick,P. Towards Continuous Scientific Data Analysis and Hypothesis Evolution", accepted in AAAI 2017.</p>
<p>The datasets itself are not published due to their size and access conditions. They can be retrieved with the provided ids from TCGA (https://gdc-portal.nci.nih.gov/legacy-archive/search/f) and CPTAC (https://cptac-data-portal.georgetown.edu/cptac/s/S022) archives.</p>
<p>These patient ids are a subset of the nearly 90 samples used in "Zhang, B., Wang, J., Wang, X., Zhu, J., Liu, Q., et al. Proteogenomic characterization of human colon and rectal cancer. <em>Nature</em> 513,382–387", in order to test the system described in the AAAI 2017 paper. More samples were not included in the analysis due to time constraints.</p>
Zenodo
2016-11-29
info:eu-repo/semantics/other
645096
1579893800.334181
3817
md5:6cca0a8922f67588006f225fb1bf15fa
https://zenodo.org/records/180716/files/2017AAAIPaperSampleList.txt
public
isVersionOf
doi