Papers: 10.1038/s41598-018-26902-7

https://doi.org/10.1038/s41598-018-26902-7

Airway brushing as a new experimental methodology to detect airway gene expression signatures in mouse lung squamous cell carcinoma

Cited by: 5
Author(s): Jing Pan, Donghai Xiong, Qi Zhang, Éva Szabó, Mark Steven Miller, Ronald A. Lubet, Yian Wang, Ming You
Published: over 8 years ago

Software Mentions 3

bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
pypi: HTSeq
A framework to process and analyze data from high-throughput sequencing (HTS) assays
Papers that mentioned: 3,071
Very Likely Science (65)