Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Su Ping Deng"'
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17:1483-1492
RNA-Protein binding is involved in many different biological processes. With the progress of technology, more and more data are available for research. Based on these data, many prediction methods have been proposed to predict RNA-Protein binding pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::884457b57fdeff518db0da4250f54ead
https://doi.org/10.1109/tcbb.2019.2943465
https://doi.org/10.1109/tcbb.2019.2943465
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17:1741-1750
RNA-Protein binding plays important roles in the field of gene expression. With the development of high throughput sequencing, several conventional methods and deep learning-based methods have been proposed to predict the binding preference of RNA-pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8249f6b079425f0a549ff8e1186dd8d4
https://doi.org/10.1109/tcbb.2019.2910513
https://doi.org/10.1109/tcbb.2019.2910513
Autor:
Wei-Li Guo, Su-Ping Deng
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16:792-800
Liver cancer is one of the deadliest cancers in the world. To find effective therapies for this cancer, it is indispensable to identify key genes, which may play critical roles in the incidence of the liver cancer. To identify key genes of the liver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c97656f1b2b76e47012328be70dfcbdf
https://doi.org/10.1109/tcbb.2018.2874238
https://doi.org/10.1109/tcbb.2018.2874238
Publikováno v:
Advances in Science, Technology and Engineering Systems, Vol 2, Iss 3, Pp 702-710 (2017)
In order to increase the diagnosis accuracy of schizophrenia (SCZ) disease, it is essential to comprehensively employ complementary information from multiple types of data. It is well known that a network is a general method for analyzing relationshi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::663a5e83211e2585411400fe2090a715
https://astesj.com/v02/i03/p90/
https://astesj.com/v02/i03/p90/
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 14:345-352
In recent years, a remarkable amount of protein-protein interaction (PPI) data are being available owing to the advance made in experimental high-throughput technologies. However, the experimentally detected PPI data usually contain a large amount of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d1eed79192631fb021834e4626372cc
https://doi.org/10.1109/tcbb.2015.2407393
https://doi.org/10.1109/tcbb.2015.2407393
Autor:
Peng, Yu, Jin, Li, Su-Ping, Deng, Feiran, Zhang, Petar N, Grozdanov, Eunice W M, Chin, Sheree D, Martin, Laurent, Vergnes, M Saharul, Islam, Deqiang, Sun, Janine M, LaSalle, Sean L, McGee, Eyleen, Goh, Clinton C, MacDonald, Peng, Jin
Publikováno v:
Scientific Data
A vast amount of public RNA-sequencing datasets have been generated and used widely to study transcriptome mechanisms. These data offer precious opportunity for advancing biological research in transcriptome studies such as alternative splicing. We r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::99af9c926e1df0592b6bfcb81f010226
https://pubmed.ncbi.nlm.nih.gov/32769981
https://pubmed.ncbi.nlm.nih.gov/32769981
Publikováno v:
BMC Genomics. 2015 Supplement 3, Vol. 16, p1-10. 10p. 5 Diagrams, 3 Graphs.
Autor:
Eyleen Goh, Sheree D. Martin, Feiran Zhang, Petar N. Grozdanov, Sean L. McGee, Deqiang Sun, Peng Jin, Su Ping Deng, Laurent Vergnes, Jin Li, Eunice W.M. Chin, Peng Yu, Janine M. LaSalle, M. Saharul Islam, Clinton C. MacDonald
Publikováno v:
Scientific Data, Vol 7, Iss 1, Pp 1-1 (2020)
Scientific data, vol 7, iss 1
Scientific Data
Scientific data, vol 7, iss 1
Scientific Data
A vast amount of public RNA-sequencing datasets have been generated and used widely to study transcriptome mechanisms. These data offer precious opportunity for advancing biological research in transcriptome studies such as alternative splicing. We r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87dde491df39e7917e58921cbbdba37e
http://link.springer.com/article/10.1038/s41597-020-00607-x
http://link.springer.com/article/10.1038/s41597-020-00607-x
Autor:
Jin Li, Peng Yu, James D. Thomas, Jacob Vieira, Franjo Ivankovic, Alfredo Ciccodicola, Su-Ping Deng, Ching-San Tseng, Valerio Costa
Publikováno v:
Database (Oxf.) 2018 (2018). doi:10.1093/database/bay054
info:cnr-pdr/source/autori:Li J.; Deng S.-P.; Vieira J.; Thomas J.; Costa V.; Tseng C.-S.; Ivankovic F.; Ciccodicola A.; Yu P./titolo:RBPMetaDB: a comprehensive annotation of mouse RNA-Seq datasets with perturbations of RNA-binding proteins/doi:10.1093%2Fdatabase%2Fbay054/rivista:Database (Oxf.)/anno:2018/pagina_da:/pagina_a:/intervallo_pagine:/volume:2018
Database: The Journal of Biological Databases and Curation
info:cnr-pdr/source/autori:Li J.; Deng S.-P.; Vieira J.; Thomas J.; Costa V.; Tseng C.-S.; Ivankovic F.; Ciccodicola A.; Yu P./titolo:RBPMetaDB: a comprehensive annotation of mouse RNA-Seq datasets with perturbations of RNA-binding proteins/doi:10.1093%2Fdatabase%2Fbay054/rivista:Database (Oxf.)/anno:2018/pagina_da:/pagina_a:/intervallo_pagine:/volume:2018
Database: The Journal of Biological Databases and Curation
RNA-binding proteins may play a critical role in gene regulation in various diseases or biological processes by controlling post-transcriptional events such as polyadenylation, splicing, and mRNA stabilization via binding activities to RNA molecules.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8ea115c626dfd3ac30b6a6a375f271c
Autor:
Hieab H.H. Adams, Alejandro Arias-Vasquez, Gareth Ball, James P. Boardman, Vince D. Calhoun, Feng Chen, Serena J. Counsell, Su-Ping Deng, Sylvane Desrivieres, Greig I. de Zubicaray, Vincent Doré, Lei Du, David Edwards, Joshua Faskowitz, Weixing Feng, Barbara Franke, Jurgen Fripp, Boris A. Gutman, Derrek P. Hibar, De-Shuang Huang, Heng Huang, M. Arfan Ikram, Alex Ing, Mark Inlow, Neda Jahanshad, Sungeun Kim, Rebecca C. Knickmeyer, Michelle L. Krishnan, Jin Li, Hong Liang, Dongdong Lin, Zhaohua Lu, Nicholas G. Martin, Katie L. McMahon, Sarah E. Medland, Xianglian Meng, Giovanni Montana, Jason H. Moore, Wiro J. Niessen, Daniel A. Rinker, Shannon L. Risacher, Stephen Rose, Gennady Roshchupkin, Olivier Salvado, Andrew J. Saykin, Gunter Schumann, Kaikai Shen, Li Shen, Matt Silver, Paul M. Thompson, Meike W. Vernooij, Andrew J. Walley, Zi Wang, Yu-Ping Wang, Lei Wang, Margaret J. Wright, Jingwen Yan, Xiaohui Yao, Qiushi Zhang, Yize Zhao, Hongtu Zhu, Fei Zou, Marcel P. Zwiers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a724a262759caecc31c16e2e23bafbc7
https://doi.org/10.1016/b978-0-12-813968-4.01002-6
https://doi.org/10.1016/b978-0-12-813968-4.01002-6