Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Arlina Shen"'
Autor:
Yubai Yuan, Qi Xu, Agaz Wani, Jan Dahrendorff, Chengqi Wang, Arlina Shen, Janelle Donglasan, Sarah Burgan, Zachary Graham, Monica Uddin, Derek Wildman, Annie Qu
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0300565 (2024)
The mRNA-seq data analysis is a powerful technology for inferring information from biological systems of interest. Specifically, the sequenced RNA fragments are aligned with genomic reference sequences, and we count the number of sequence fragments c
Externí odkaz:
https://doaj.org/article/d1fea5b4ed5440ae8c9332c18a16b978
Publikováno v:
Cancers
Volume 11
Issue 6
Cancers, Vol 11, Iss 6, p 744 (2019)
Volume 11
Issue 6
Cancers, Vol 11, Iss 6, p 744 (2019)
The discovery of biomarkers that are informative for cancer risk assessment, diagnosis, prognosis and treatment predictions is crucial. Recent advances in high-throughput genomics make it plausible to select biomarkers from the vast number of human g
Autor:
Yuan, Yubai1 (AUTHOR), Xu, Qi2 (AUTHOR), Wani, Agaz3 (AUTHOR), Dahrendorff, Jan3 (AUTHOR), Wang, Chengqi3 (AUTHOR), Shen, Arlina4 (AUTHOR), Donglasan, Janelle3 (AUTHOR), Burgan, Sarah3 (AUTHOR), Graham, Zachary3 (AUTHOR), Uddin, Monica3 (AUTHOR), Wildman, Derek3 (AUTHOR), Qu, Annie2 (AUTHOR) aqu2@uci.edu
Publikováno v:
PLoS ONE. 7/17/2024, Vol. 19 Issue 7, p1-31. 31p.
Autor:
Shen, Arlina1 (AUTHOR) ahshen20@blakeschool.org, Fu, Han2 (AUTHOR) fu.607@osu.edu, He, Kevin2 (AUTHOR) kevinhe@umich.edu, Jiang, Hui2 (AUTHOR) jianghui@umich.edu
Publikováno v:
Cancers. Jun2019, Vol. 11 Issue 6, p744. 1p.