Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Jujuan Zhuang"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 9, Pp 15809-15829 (2023)
Transcription factors (TFs) are important factors that regulate gene expression. Revealing the mechanism affecting the binding specificity of TFs is the key to understanding gene regulation. Most of the previous studies focus on TF-DNA binding sites
Externí odkaz:
https://doaj.org/article/80b8b9b797594baf8e24b15451563d15
Emvirus: An embedding-based neural framework for human-virus protein-protein interactions prediction
Publikováno v:
Biosafety and Health, Vol 5, Iss 3, Pp 152-158 (2023)
Human-virus protein-protein interactions (PPIs) play critical roles in viral infection. For example, the spike protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) binds primarily to human angiotensin-converting enzyme 2 (ACE2) pro
Externí odkaz:
https://doaj.org/article/d6c7dafe9f144003ad491bcd5d0a78e7
Autor:
Jujuan Zhuang, Lingyu Cui, Tianqi Qu, Changjing Ren, Junlin Xu, Tianbao Li, Geng Tian, Jialiang Yang
Publikováno v:
IEEE Access, Vol 9, Pp 9719-9727 (2021)
One advantage of single-cell RNA sequencing is its ability in revealing cell heterogeneity by cell clustering. However, cell clustering based on single-cell RNA sequencing is challenging due to the high transcript amplification noise, sparsity and ou
Externí odkaz:
https://doaj.org/article/676a1856006141d793574669944cb1ea
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
Background: Pseudouridine (Ψ) is a common ribonucleotide modification that plays a significant role in many biological processes. The identification of Ψ modification sites is of great significance for disease mechanism and biological processes res
Externí odkaz:
https://doaj.org/article/893710d42b024260b70e1335792ffaf9
Autor:
Jujuan Zhuang, Changjing Ren, Dan Ren, Yu’ang Li, Danyang Liu, Lingyu Cui, Geng Tian, Jiasheng Yang, Jingbo Liu
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
Critical in revealing cell heterogeneity and identifying new cell subtypes, cell clustering based on single-cell RNA sequencing (scRNA-seq) is challenging. Due to the high noise, sparsity, and poor annotation of scRNA-seq data, existing state-of-the-
Externí odkaz:
https://doaj.org/article/4aff72a7f2aa4bb78055c14efbf49912
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-8 (2017)
Abstract Considering as one of the major goals in quantitative proteomics, detection of the differentially expressed proteins (DEPs) plays an important role in biomarker selection and clinical diagnostics. There have been plenty of algorithms and too
Externí odkaz:
https://doaj.org/article/77def7792c2043d39463486147d19c8d
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
Phylogenetic networks are used to estimate evolutionary relationships among biological entities or taxa involving reticulate events such as horizontal gene transfer, hybridization, recombination, and reassortment. In the past decade, many phylogeneti
Externí odkaz:
https://doaj.org/article/3f384b513fa44effaffa2c38eb089e8a
Autor:
Junlin Xu, Lingyu Cui, Jujuan Zhuang, Yajie Meng, Pingping Bing, Binsheng He, Geng Tian, Choi Kwok Pui, Taoyang Wu, Bing Wang, Jialiang Yang
Recent advances in single-cell RNA sequencing (scRNA-seq) provide exciting opportunities for transcriptome analysis at single-cell resolution. Clustering individual cells is a key step to reveal cell subtypes and infer cell lineage in scRNA-seq analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e000ee2a8bcac97576e21d0c1e418083
https://ueaeprints.uea.ac.uk/id/eprint/85570/
https://ueaeprints.uea.ac.uk/id/eprint/85570/
Autor:
Lingyu Cui, Geng Tian, Junlin Xu, Tianqi Qu, Jujuan Zhuang, Jialiang Yang, Changjing Ren, Tianbao Li
Publikováno v:
IEEE Access, Vol 9, Pp 9719-9727 (2021)
One advantage of single-cell RNA sequencing is its ability in revealing cell heterogeneity by cell clustering. However, cell clustering based on single-cell RNA sequencing is challenging due to the high transcript amplification noise, sparsity and ou
Identifying Breast Cancer-induced Gene Perturbations and its Application in Guiding Drug Repurposing
Autor:
Lijun Zhang, Min Tang, Pan Gao, Na Yan, Jujuan Zhuang, Yingmin Han, Shuang Dai, Ling Kui, Geng Tian
Publikováno v:
Current Bioinformatics. 15:1075-1089
Background: Breast cancer is a complex disease with high prevalence in women, the molecular mechanisms of which are still unclear at present. Most transcriptomic studies on breast cancer focus on differential expression of each gene between tumor and