hnsc.edata

<p>lncRNA Fragments Per Killobase per Million (FPKM) in a head and neck squamous cell carcinomas (hnsc) study.</p>

datasets

We developed an approach to detect differential expression features in long non-coding RNA low counts, using generalized linear model with zero-inflated exponential quasi likelihood ratio test. Methods implemented in this package are described in Li (2019) <doi:10.1186/s12864-019-5926-4>.

Qian Li

lncDIFF

Long Non-Coding RNA Differential Expression Analysis

hnsc.edata function

<p>A data frame of lncRNA FPKM with 1000 rows (i.e. genes) and 80 columns (i.e. samples ).</p>

hnsc.edata: lncRNA Fragments Per Killobase per Million (FPKM) in a head and neck squamous cell carcinomas (hnsc) study.

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