Results 91 to 100 of about 64,353 (185)
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 +4 more
doaj +1 more source
Extracting LncRNA-protein Interactions from Literature Using a Text Feature-based Approach
Abstract Long non-coding RNAs (lncRNAs) play important roles in regulating transcriptional and posttranscriptional levels. Knowledge of lncRNA-protein interactions (LPIs) is crucial for biologists to explain biological mechanism and guide experiments.
Qiguang Zang +3 more
openaire +1 more source
Fusion of multi-source relationships and topology to infer lncRNA-protein interactions
Long non-coding RNAs (lncRNAs) are important factors involved in biological regulatory networks. Accurately predicting lncRNA-protein interactions (LPIs) is vital for clarifying lncRNA's functions and pathogenic mechanisms. Existing deep learning models have yet to yield satisfactory results in LPI prediction.
Xinyu Zhang +5 more
openaire +3 more sources
Background Ovarian cancer (OVCA) is the third most common gynaecological malignancy worldwide. Long non-coding RNA (LncRNA) HCP5 and polypyrimidine tract binding protein 1 (PTBP1) involved in regulating tumors, however, with undefined mechanism in OVCA ...
Xiaoli Chen +4 more
doaj +1 more source
Protocol for detecting lncRNA-protein interactions in vitro by tRSA RNA pull-down assay
Summary: Long non-coding RNAs (lncRNAs) work together with diverse RNA-binding proteins (RBPs) to fulfill key regulations in important cellular functions.
Liyun Jiang +4 more
doaj +1 more source
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 +7 more
doaj +1 more source
A novel lncRNA-protein interaction prediction method based on deep forest with cascade forest structure. [PDF]
Tian X, Shen L, Wang Z, Zhou L, Peng L.
europepmc +1 more source
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 +4 more
doaj +1 more source
LPI-HyADBS: a hybrid framework for lncRNA-protein interaction prediction integrating feature selection and classification. [PDF]
Zhou L +5 more
europepmc +1 more source
LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA-protein interaction identification. [PDF]
Zhou L, Wang Z, Tian X, Peng L.
europepmc +1 more source

