Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jianbang Zhao"'
Autor:
Ningbo Chen, Weiwei Fu, Jianbang Zhao, Jiafei Shen, Qiuming Chen, Zhuqing Zheng, Hong Chen, Tad S. Sonstegard, Chuzhao Lei, Yu Jiang
Publikováno v:
Genomics, Proteomics & Bioinformatics, Vol 18, Iss 2, Pp 186-193 (2020)
Next-generation sequencing has yielded a vast amount of cattle genomic data for global characterization of population genetic diversity and identification of genomic regions under natural and artificial selection. However, efficient storage, querying
Externí odkaz:
https://doaj.org/article/3f1a79e09aa944fca2d95552e02398fa
Autor:
Leijie Li, Dongxue Che, Xiaodan Wang, Peng Zhang, Siddiq Ur Rahman, Jianbang Zhao, Jiantao Yu, Shiheng Tao, Hui Lu, Mingzhi Liao
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-9 (2019)
Abstract Background Cell direct reprogramming technology has been rapidly developed with its low risk of tumor risk and avoidance of ethical issues caused by stem cells, but it is still limited to specific cell types. Direct reprogramming from an ori
Externí odkaz:
https://doaj.org/article/762dc0fde56a4620956d039b3084da5e
Autor:
Jianbang Zhao, Xiaoke Ma
Publikováno v:
Frontiers in Genetics, Vol 9 (2019)
Long non-coding RNAs (LncRNA) are critical regulators for biological processes, which are highly related to complex diseases. Even though the next generation sequence technology facilitates the discovery of a great number of lncRNAs, the knowledge ab
Externí odkaz:
https://doaj.org/article/a299e06072c84610b0e89796da85959b
Publikováno v:
Molecules, Vol 22, Iss 12, p 2228 (2017)
The advances in biological technologies make it possible to generate data for multiple conditions simultaneously. Discovering the condition-specific modules in multiple networks has great merit in understanding the underlying molecular mechanisms of
Externí odkaz:
https://doaj.org/article/2420369a31d24736b776d589445be7b8
Autor:
Weiwei Fu, Zhuqing Zheng, Yu Jiang, Jiafei Shen, Ningbo Chen, Hong Chen, Jianbang Zhao, Chuzhao Lei, Tad S. Sonstegard, Qiuming Chen
Publikováno v:
Genomics, Proteomics & Bioinformatics
Genomics, Proteomics & Bioinformatics, Vol 18, Iss 2, Pp 186-193 (2020)
Genomics, Proteomics & Bioinformatics, Vol 18, Iss 2, Pp 186-193 (2020)
Next-generation sequencing has yielded a vast amount of cattle genomic data for global characterization of population genetic diversity and identification of genomic regions under natural and artificial selection. However, efficient storage, querying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::795ba91f89247aaca11a60ecb2d4b814
http://europepmc.org/articles/PMC7646086
http://europepmc.org/articles/PMC7646086
Publikováno v:
2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC).
Considering the limited of the training samples and the effect of speckle noise in PolSAR images, which further affects the learning performance of the classifier, a recursive convolution neural network model (CNN) is proposed. Samples with high conf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8a74a3112c47daf5e2d6853ffa37c3c
https://doi.org/10.1109/yac51587.2020.9337661
https://doi.org/10.1109/yac51587.2020.9337661
Autor:
Ning Zhang, Jianbang Zhao, Xia Xiao, Dongxue Che, Peng Zhang, Tongtong Li, Xiaodan Wang, Hao Li, Chengzhang Sun, Peng Yu, Ziyu Chen, Abdullah Shalmani, Leijie Li, Qun Li, Jinlian Hua, Xiaolong Wu, Tong Liu, Mingzhi Liao
Publikováno v:
Molecular omics. 16(5)
Motivation: enhancers play an important role in the regulation of gene expression during spermatogenesis. The development of ChIP-Chip and ChIP-Seq sequencing technology has enabled researchers to focus on the relationship between enhancers and DNA s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c9f54e500fc6811e014d8128599d159
https://pubmed.ncbi.nlm.nih.gov/32568326
https://pubmed.ncbi.nlm.nih.gov/32568326
Autor:
Jiantao Yu, Xiaodan Wang, Leijie Li, Mingzhi Liao, Shiheng Tao, Peng Zhang, Siddiq Ur Rahman, Hui Lu, Jianbang Zhao, Dongxue Che
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-9 (2019)
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-9 (2019)
Cell direct reprogramming technology has been rapidly developed with its low risk of tumor risk and avoidance of ethical issues caused by stem cells, but it is still limited to specific cell types. Direct reprogramming from an original cell to target
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ba0167e9a9d550eec1883c94b66ee4c
https://pubmed.ncbi.nlm.nih.gov/30832570
https://pubmed.ncbi.nlm.nih.gov/30832570
Publikováno v:
Molecules, Vol 22, Iss 12, p 2228 (2017)
Molecules; Volume 22; Issue 12; Pages: 2228
Molecules : A Journal of Synthetic Chemistry and Natural Product Chemistry
Molecules; Volume 22; Issue 12; Pages: 2228
Molecules : A Journal of Synthetic Chemistry and Natural Product Chemistry
The advances in biological technologies make it possible to generate data for multiple conditions simultaneously. Discovering the condition-specific modules in multiple networks has great merit in understanding the underlying molecular mechanisms of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::840b9820dd556498733a131f9aa9a8c8
https://www.mdpi.com/1420-3049/22/12/2228
https://www.mdpi.com/1420-3049/22/12/2228
Autor:
Jianbang, Zhao
Publikováno v:
Zhong yao cai = Zhongyaocai = Journal of Chinese medicinal materials. 26(7)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::cda03e016085f574ec28b7a1b24b888a
https://pubmed.ncbi.nlm.nih.gov/14682283
https://pubmed.ncbi.nlm.nih.gov/14682283