Results 71 to 80 of about 6,544,784 (149)

ACCBN: ant-Colony-clustering-based bipartite network method for predicting long non-coding RNA–protein interactions

BMC Bioinformatics, 2019
Background Long non-coding RNA (lncRNA) studies play an important role in the development, invasion, and metastasis of the tumor. The analysis and screening of the differential expression of lncRNAs in cancer and corresponding paracancerous tissues ...
Rong Zhu, Guangshun Li, Jin-Xing Liu, Ling-Yun Dai, Ying Guo   +4 more
doaj   +1 more source

Table_1_Predicting lncRNA–Protein Interactions With miRNAs as Mediators in a Heterogeneous Network Model.xlsx

, 2020
Long non-coding RNAs (lncRNAs) play important roles in various biological processes, where lncRNA–protein interactions are usually involved. Therefore, identifying lncRNA–protein interactions is of great significance to understand the molecular functions
Pu-Feng Du (8158638), Yuan-Ke Zhou (8344617), Zi-Ang Shen (8344620), Han Yu (110573), Tao Luo (232520), Yang Gao (18005)   +5 more
core   +1 more source

Protocol for detecting lncRNA-protein interactions in vitro by tRSA RNA pull-down assay

STAR Protocols
Summary: Long non-coding RNAs (lncRNAs) work together with diverse RNA-binding proteins (RBPs) to fulfill key regulations in important cellular functions.
Liyun Jiang, Jun Yang, Reqing He, Youlin Zhu, Dong Wang   +4 more
doaj   +1 more source

Capsule-LPI: a LncRNA-protein interaction predicting tool based on a capsule network. [PDF]

BMC Bioinformatics, 2021
Li Y, Sun H, Feng S, Zhang Q, Han S, Du W.   +5 more
europepmc   +1 more source

A novel lncRNA-protein interaction prediction method based on deep forest with cascade forest structure. [PDF]

Sci Rep, 2021
Tian X, Shen L, Wang Z, Zhou L, Peng L.
europepmc   +1 more source

Regulation of angiogenesis in cerebral ischemic rats through ceRNA networks and its impact on cerebral ischemic stroke prognosis

Brain Research Bulletin
Background: Cerebral ischemic stroke (CIS) represents a major cerebrovascular disorder characterized by high incidence and disability rates, significantly compromising patient quality of life and survival.
Wenfeng Cao, Mingyue Wang, Wen Chai, Chaoqun Luo, Yanmei Wang, Xinhua Zhou, Jie Li, Lingjuan Li   +7 more
doaj   +1 more source

ATP Citrate Lyase and LncRNA NONMMUT010685 Play Crucial Role in Nonalcoholic Fatty Liver Disease Based on Analysis of Microarray Data

Cellular Physiology and Biochemistry, 2018
Background/Aims: Nonalcoholic fatty liver disease (NAFLD) is the most common cause of liver disease with unclear molecular mechanisms. Our study intended to identify potential long non-coding RNAs (lncRNAs) and genes, and to determine the potential ...
Tao-tao Ma, Cheng Huang, Ying Ni, You Yang, Jun Li   +4 more
doaj   +1 more source

LPI-HyADBS: a hybrid framework for lncRNA-protein interaction prediction integrating feature selection and classification. [PDF]

BMC Bioinformatics, 2021
Zhou L, Duan Q, Tian X, Xu H, Tang J, Peng L.   +5 more
europepmc   +1 more source

Table_2_Predicting lncRNA–Protein Interactions With miRNAs as Mediators in a Heterogeneous Network Model.xlsx

, 2020
Long non-coding RNAs (lncRNAs) play important roles in various biological processes, where lncRNA–protein interactions are usually involved. Therefore, identifying lncRNA–protein interactions is of great significance to understand the molecular functions
Pu-Feng Du (8158638), Yuan-Ke Zhou (8344617), Zi-Ang Shen (8344620), Han Yu (110573), Tao Luo (232520), Yang Gao (18005)   +5 more
core   +1 more source

LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA-protein interaction identification. [PDF]

BMC Bioinformatics, 2021
Zhou L, Wang Z, Tian X, Peng L.
europepmc   +1 more source