Ling-Yun Dai
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Explore the profile of Ling-Yun Dai including associated specialties, affiliations and a list of published articles.
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Articles
25
Citations
128
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Recent Articles
11.
Wang J, Lu C, Kong X, Dai L, Yuan S, Zhang X
BMC Bioinformatics
. 2022 Jan;
22(Suppl 12):334.
PMID: 35057729
Background: The identification of cancer types is of great significance for early diagnosis and clinical treatment of cancer. Clustering cancer samples is an important means to identify cancer types, which...
12.
Yao D, Dai L, Zheng H, Zhou Z
Rep Prog Phys
. 2021 Apr;
84(7).
PMID: 33882459
The description of strong interaction physics of low-lying resonances is out of the valid range of perturbative QCD. Chiral effective field theories (EFTs) have been developed to tackle the issue....
13.
Zhu R, Wang Y, Liu J, Dai L
BMC Bioinformatics
. 2021 Apr;
22(1):175.
PMID: 33794766
Background: Identifying lncRNA-disease associations not only helps to better comprehend the underlying mechanisms of various human diseases at the lncRNA level but also speeds up the identification of potential biomarkers...
14.
Kong X, Song Y, Liu J, Zheng C, Yuan S, Wang J, et al.
Front Genet
. 2021 Mar;
12:621317.
PMID: 33708239
The dimensionality reduction method accompanied by different norm constraints plays an important role in mining useful information from large-scale gene expression data. In this article, a novel method named Lp-norm...
15.
Wang C, Gao Y, Liu J, Dai L, Shang J
J Bioinform Comput Biol
. 2021 Jan;
19(1):2050047.
PMID: 33410727
Non-negative Matrix Factorization (NMF) is a popular data dimension reduction method in recent years. The traditional NMF method has high sensitivity to data noise. In the paper, we propose a...
16.
Wang J, Lu C, Liu J, Dai L, Kong X
BMC Bioinformatics
. 2020 Jan;
20(Suppl 22):718.
PMID: 31888442
Background: Identifying different types of cancer based on gene expression data has become hotspot in bioinformatics research. Clustering cancer gene expression data from multiple cancers to their own class is...
17.
Feng C, Xu Y, Hou M, Dai L, Shang J
BMC Bioinformatics
. 2020 Jan;
20(Suppl 22):716.
PMID: 31888433
Background: In recent years, identification of differentially expressed genes and sample clustering have become hot topics in bioinformatics. Principal Component Analysis (PCA) is a widely used method in gene expression...
18.
Xu X, Dai L, Kong X, Liu J
Hum Hered
. 2019 Aug;
84(1):21-33.
PMID: 31466058
Differentially expressed genes selection becomes a hotspot and difficulty in recent molecular biology. Low-rank representation (LRR) uniting graph Laplacian regularization has gained good achievement in the above field. However, the...
19.
Cui Z, Gao Y, Liu J, Dai L, Yuan S
BMC Bioinformatics
. 2019 Jun;
20(Suppl 8):287.
PMID: 31182006
Background: Predicting drug-target interactions is time-consuming and expensive. It is important to present the accuracy of the calculation method. There are many algorithms to predict global interactions, some of which...
20.
Zhu R, Li G, Liu J, Dai L, Guo Y
BMC Bioinformatics
. 2019 Jan;
20(1):16.
PMID: 30626319
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...