10.5281/zenodo.3753914
https://zenodo.org/records/3753914
oai:zenodo.org:3753914
Kong Chao
Kong Chao
0000-0003-2685-797X
1 The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, 710049, P. R. China; 2 National Engineering Research Center for Healthcare Devices. Guangzhou, Guangdong, 510500, P.R. China; 3 Institute of Computational Physics and Complex Systems, School of Physical Science and Technology, Lanzhou University, Lanzhou 730000, China
Yao Yu-Xiang
Yao Yu-Xiang
3 Institute of Computational Physics and Complex Systems, School of Physical Science and Technology, Lanzhou University, Lanzhou 730000, China
Bing Zhi-Tong
Bing Zhi-Tong
4 Evidence Based Medicine Center, School of Basic Medical Science of Lanzhou University, Lanzhou, China; 5 Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China; 6 Department of Computational Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China
Guo Bing-Hui
Guo Bing-Hui
7 Beijing Advanced Innovation Center for Big Data and Brain Computing, LMIB and School of Mathematics and System Sciences, Beihang University, Beijing 100191, China
Huang Liang
Huang Liang
3 Institute of Computational Physics and Complex Systems, School of Physical Science and Technology, Lanzhou University, Lanzhou 730000, China
Huang Zi-Gang
Huang Zi-Gang
0000-0001-9648-3067
1 The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, 710049, P. R. China; 2 National Engineering Research Center for Healthcare Devices. Guangzhou, Guangdong, 510500, P.R. China
Lai Ying-Cheng
Lai Ying-Cheng
8 School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85287, USA; 9 Department of Physics, Arizona State University, Tempe, Arizona 85287, USA
Dynamical network analysis reveals key microRNAs in progressive stages of lung cancer
Zenodo
2020
non-coding RNA
gene expression
2020-04-17
eng
10.1371/journal.pcbi.1007793
10.5281/zenodo.3753913
Creative Commons Attribution 4.0 International
This repository contains clinical data of LUAD samples (phnotype.csv; TCGA-LUAD.survival.tsv), microRNA targets data of RNAs-RNAs relationships (mirna-lnc.txt; mirna-mrna.csv), and RNAs expression data of LUAD (ENSG_ID.txt; ENSG_ID_LNC.txt; idMap.data; TCGA-LUAD.htseq_fpkm.tsv; TCGA-LUAD.mirna.tsv) used in Dynamical network analysis reveals key microRNAs in progressive stages of lung cancer.