Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Rui-Yi Li"'
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S6, Pp 1-16 (2021)
Abstract Background The rapid development of single-cell RNA sequencing (scRNA-seq) enables the exploration of cell heterogeneity, which is usually done by scRNA-seq data clustering. The essence of scRNA-seq data clustering is to group cells by measu
Externí odkaz:
https://doaj.org/article/4eebe7b57e324616af7fccf1d04ff6fb
Publikováno v:
IEEE Access, Vol 8, Pp 166730-166741 (2020)
Rapid development of single cell RNA sequencing (scRNA-seq) technology has accelerated the exploration in biomedical researches. One of the focal interests in scRNA-seq data analysis is to classify cells into different types, which significantly assi
Externí odkaz:
https://doaj.org/article/79311594c1d44aa6b3696967a5183511
Autor:
Hai-Lou Zhang, Yan Sun, Zhang-Jie Wu, Ying Yin, Rui-Yi Liu, Ji-Chun Zhang, Zhang-Jin Zhang, Suk-Yu Yau, Hao-Xin Wu, Ti-Fei Yuan, Li Zhang, Miroslav Adzic, Gang Chen
Publikováno v:
Military Medical Research, Vol 11, Iss 1, Pp 1-16 (2024)
Abstract Background The development of ketamine-like rapid antidepressants holds promise for enhancing the therapeutic efficacy of depression, but the underlying cellular and molecular mechanisms remain unclear. Implicated in depression regulation, t
Externí odkaz:
https://doaj.org/article/5e32b48b85444f4e9503daa9887cd9a3
Publikováno v:
IEEE Access, Vol 8, Pp 109857-109865 (2020)
Single-cell RNA sequencing(scRNA-seq) technology has boomed in the past decade which makes it possible to study biological problems at the resolution of cellular-level. Currently, the research mainly focuses on exploring the cellular heterogeneity, i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed02072bca1c77422a7ae1b5716d5b9a
https://ieeexplore.ieee.org/document/9115662/
https://ieeexplore.ieee.org/document/9115662/
Autor:
Min Jiang, Zhenghong Xu, Jin-Peng Ye, Jin-Song Shi, Yan Zhang, Yan Geng, Ji-Meng He, Su Chang, Rui-Yi Li, Jin-Song Gong, Jinghua Chen
Publikováno v:
Macromolecular bioscience. 20(9)
Keratin is widely recognized as a high-quality renewable protein resource for biomedical applications. Despite their extensive existence, keratin resources such as feathers, wool, and hair exhibit high stability and mechanical properties because of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d4df3cdbeb4f7c420880ad9f9667633
https://pubmed.ncbi.nlm.nih.gov/32691954
https://pubmed.ncbi.nlm.nih.gov/32691954
Publikováno v:
Bioinformatics. 33:1197-1204
Motivation Identifying the kinase–substrate relationships is vital to understanding the phosphorylation events and various biological processes, especially signal transductions. Although large amount of phosphorylation sites have been detected, unf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9488759d907fc9c0228fffd7223b7bbb
https://doi.org/10.1093/bioinformatics/btw792
https://doi.org/10.1093/bioinformatics/btw792
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 13:1027-1035
MicroRNAs (miRNAs) are a class of small endogenous non-coding genes, acting as regulators in the post-transcriptional processes. Recently, the miRNAs are found to be widely involved in different types of diseases. Therefore, the identification of dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3c4bd594afa1cda788dc8a1a9043dbf
https://doi.org/10.1109/tcbb.2016.2515608
https://doi.org/10.1109/tcbb.2016.2515608
Autor:
Jin-Song Shi, Jin-Song Gong, Yan Geng, Yan-Ge Liu, Zhenghong Xu, Rui-Yi Li, Jin-Peng Ye, Su Chang, Huaping Pan, Min Jiang
Publikováno v:
Colloids and Surfaces B: Biointerfaces. 194:111158
Keratin is widely used in the biomaterial application, but the keratin prepared by the physical or chemical approach has relatively low molecular weight and mechanical properties. Here we report the preparation of high molecular keratin (HMK) with mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::296eb9af238889cd7766f5762246d29b
https://doi.org/10.1016/j.colsurfb.2020.111158
https://doi.org/10.1016/j.colsurfb.2020.111158
Publikováno v:
Journal of Bioinformatics and Computational Biology. 18:2040005
Clustering analysis has been widely applied to single-cell RNA-sequencing (scRNA-seq) data to discover cell types and cell states. Algorithms developed in recent years have greatly helped the understanding of cellular heterogeneity and the underlying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81765b9439d19bf41607913c165d887b
https://doi.org/10.1142/s0219720020400053
https://doi.org/10.1142/s0219720020400053
Publikováno v:
IFAC-PapersOnLine. 48:7-11
MicroRNAs (miRNAs) are a class of small endogenous non-coding genes, acting as regulators in the post-transcriptional processes. Recently, miRNAs are found to be widely involved in different types of diseases. Therefore, identification of disease ass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f204566a26cd4d348faf86cf7da5e8a7
https://doi.org/10.1016/j.ifacol.2015.12.091
https://doi.org/10.1016/j.ifacol.2015.12.091