Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Summary: High-throughput sequencing of transcriptomes (RNA-Seq) has become a porful tool to study gene expression. Here  present an R package, rSeqNP, which implements a non-parametric approach to test for differential expression and splicing from RNA-Seq data. rSeqNP uses permutation tests to access statistical significance and can be applied to a variety of experimental designs. By combining information across isoforms, rSeqNP is able to detect more differentially expressed or spliced genes from RNA-Seq data.#R##N##R##N#Availability and implementation: The R package with its source code and documentation are freely available at http://www-personal.umich.edu/∼jianghui/rseqnp/.#R##N##R##N#Contact: ude.hcimu@iuhgnaij#R##N##R##N#Supplementary information: Supplementary data are available at Bioinformatics online.
['Yang Shi', 'Arul M. Chinnaiyan', 'Hui Jiang']
I am writing a research paper on a idea RSeqNP: A non-parametric approach for detecting differential expression and splicing from RNA-Seq data
[{"from": "human", "value": "I am writing a research paper on a idea RSeqNP: A non-parametric approach for detecting differential expression and splicing from RNA-Seq data"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Summary: High-throughput sequencing of transcriptomes (RNA-Seq) has become a porful tool to study gene expression. Here  present an R package, rSeqNP, which implements a non-parametric approach to test for differential expression and splicing from RNA-Seq data. rSeqNP uses permutation tests to access statistical significance and can be applied to a variety of experimental designs. By combining information across isoforms, rSeqNP is able to detect more differentially expressed or spliced genes from RNA-Seq data.#R##N##R##N#Availability and implementation: The R package with its source code and documentation are freely available at http://www-personal.umich.edu/\u223cjianghui/rseqnp/.#R##N##R##N#Contact: ude.hcimu@iuhgnaij#R##N##R##N#Supplementary information: Supplementary data are available at Bioinformatics online."}]