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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, 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
Externí odkaz:
https://doaj.org/article/b3cbc5a7869b426c9f1e4bca6db385c6
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