PLEKv2: predicting lncRNAs and mRNAs based on intrinsic sequence features and the coding-net model-Reference-Cited by-同舟云学术

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PLEKv2: predicting lncRNAs and mRNAs based on intrinsic sequence features and the coding-net model

Published:2024-08-02 Issue:1 Volume:25 Page:
ISSN:1471-2164
Container-title:BMC Genomics
language:en
Short-container-title:BMC Genomics

Author:

Li Aimin,Zhou Haotian,Xiong Siqi,Li Junhuai,Mallik Saurav,Fei Rong,Liu Yajun,Zhou Hongfang,Wang Xiaofan,Hei Xinhong,Wang Lei

Funder

Natural Science Basic Research Program of Shaanxi Province

the National Natural Science Foundation of China

the National Natural Science Foundation International cooperation and exchange projects

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1186/s12864-024-10662-y.pdf

Reference30 articles.

1. Cuevas-Diaz Duran R, Wei H, Kim DH, Wu JQ. Invited review: Long non‐coding RNA s: important regulators in the development, function and disorders of the central nervous system. Neuropathol Appl Neurobiol. 2019;45(6):538–56.

2. Wu L, Liu S, Qi H, Cai H, Xu M. Research progress on plant long non-coding RNA. Plants. 2020;9(4):408.

3. Djebali S, Davis CA, Merkel A, Dobin A, Lassmann T, Mortazavi A, Tanzer A, Lagarde J, Lin W, Schlesinger F. Landscape of transcription in human cells. Nature. 2012;489(7414):101–8.

4. Berg JM, Tymoczko JL, Stryer L, Clarke ND. Biochemistry. Volume 5. WH freeman New York; 2002.

5. Liu SJ, Dang HX, Lim DA, Feng FY, Maher CA. Long noncoding RNAs in cancer metastasis. Nat Rev Cancer. 2021;21(7):446–60.

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