Identification of Significant RNA-Binding Proteins in the Process of CD44 Splicing Using the Boosted Beta Regression Algorithm

被引:0
作者
V. O. Novosad
机构
[1] Faculty of Biology and Biotechnology,
[2] National Research University Higher School of Economics,undefined
[3] Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry,undefined
[4] Russian Academy of Sciences,undefined
来源
Doklady Biochemistry and Biophysics | 2023年 / 510卷
关键词
alternative splicing; CD44; CRC; boosted beta regression; RNA-binding proteins; RNA-seq; TCGA;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:99 / 103
页数:4
相关论文
共 93 条
  • [1] Pan Q.(2008)Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing Nat. Genet 40 1413-1415
  • [2] Shai O.(2008)Splicing regulation: From a parts list of regulatory elements to an integrated splicing code RNA 14 802-813
  • [3] Lee L.J.(2006)General and specific functions of exonic splicing silencers in splicing control Mol. Cell 23 61-70
  • [4] Frey B.J.(2011)Bayesian prediction of tissue-regulated splicing using RNA sequence and cellular context Bioinformatics 27 2554-2562
  • [5] Blen-cowe B.J.(2009)Decrypting the genome’s alternative messages Curr. Opin. Cell Biol 21 377-386
  • [6] Wang Z.(2010)Deciphering the splicing code Nature 465 53-59
  • [7] Burge C.B.(2014)RNA motifs: prediction of multivalent RNA motifs that control alternative splicing Genome Biol. 15 R20-i129
  • [8] Wang Z.(2014)Deep learning of the tissue-regulated splicing code Bioinformatics 3 i121-140
  • [9] Xiao X.(2020)CD44 as a tumor biomarker and therapeutic target Exp. Hematol. Oncol 9 36-D131
  • [10] Van Nostrand E.(2010)edgeR: a Bioconductor package for differential expression analysis of digital gene expression data Bioinformatics 26 139-54