Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Renliang Sun"'
Autor:
Huiting Jiangzhou, Hang Zhang, Renliang Sun, Aamir Fahira, Ke Wang, Zhiqiang Li, Yongyong Shi, Zhuo Wang
Publikováno v:
iScience, Vol 24, Iss 8, Pp 102824- (2021)
Summary: Gastrointestinal (GI) tract cancers are the most common malignant cancers with high mortality rate. Pan-cancer multi-omics data fusion provides a powerful strategy to examine commonalities and differences among various cancer types and benef
Externí odkaz:
https://doaj.org/article/f80e04e4348c4a8c9e3264b5d4a22790
Autor:
Hang Zhang, Ke Wang, Juan Zhou, Jianhua Chen, Yizhou Xu, Dong Wang, Xiaoqi Li, Renliang Sun, Mancang Zhang, Zhuo Wang, Yongyong Shi
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S22, Pp 1-13 (2019)
Abstract Background Variant calling and refinement from whole genome/exome sequencing data is a fundamental task for genomics studies. Due to the limited accuracy of NGS sequencing and variant callers, IGV-based manual review is required for further
Externí odkaz:
https://doaj.org/article/6652e4639e284dff916a5e59bd244127
Autor:
Renliang Sun, Yong Deng
Publikováno v:
IEEE Access, Vol 7, Pp 15547-15555 (2019)
One assumption of Dempster-Shafer evidence theory (D-S theory) is the closed world. However, how to determine whether the frame of discernment is incomplete or not is still an open issue. In this paper, a new method is proposed based on a minimum spa
Externí odkaz:
https://doaj.org/article/c78c634f34ff4215a1ff1a74614a9cc3
Autor:
Renliang Sun, Yong Deng
Publikováno v:
IEEE Access, Vol 7, Pp 52827-52835 (2019)
Dempster-Shafer evidence theory (D-S theory) is a very useful tool to solve problems in the field of information fusion. But how to determine generalized basic probability assignment (GBPA) more accurately and efficiently in D-S theory is still a mat
Externí odkaz:
https://doaj.org/article/4b240af24abd46f8a0e7255189ecb0fc
Publikováno v:
Frontiers in Genetics, Vol 11 (2020)
Hepatocellular carcinoma (HCC) is the predominant form of liver cancer and has long been among the top three cancers that cause the most deaths worldwide. Therapeutic options for HCC are limited due to the pronounced tumor heterogeneity. Thus, there
Externí odkaz:
https://doaj.org/article/ad81e7d16e1e409081b94890b457f574
Autor:
Fangzhou Shen, Renliang Sun, Jie Yao, Jian Li, Qian Liu, Nathan D Price, Chenguang Liu, Zhuo Wang
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 3, p e1006835 (2019)
The ultimate goal of metabolic engineering is to produce desired compounds on an industrial scale in a cost effective manner. To address challenges in metabolic engineering, computational strain optimization algorithms based on genome-scale metabolic
Externí odkaz:
https://doaj.org/article/3aa3fd7e71a4437993a657c1f8499946
Autor:
Peike Wu, Renliang Sun, Aamir Fahira, Yongzhou Chen, Huiting Jiangzhou, Ke Wang, Qiangzhen Yang, Yang Dai, Dun Pan, Yongyong Shi, Zhuo Wang
Publikováno v:
Briefings in Bioinformatics. 24
Predicting therapeutic responses in cancer patients is a major challenge in the field of precision medicine due to high inter- and intra-tumor heterogeneity. Most drug response models need to be improved in terms of accuracy, and there is limited res
Publikováno v:
The 4th International Conference on Information Technologies and Electrical Engineering.
Autor:
Zhiqiang Li, Hang Zhang, Ke Wang, Aamir Fahira, Renliang Sun, Huiting Jiangzhou, Yongyong Shi, Zhuo Wang
Publikováno v:
iScience
iScience, Vol 24, Iss 8, Pp 102824-(2021)
iScience, Vol 24, Iss 8, Pp 102824-(2021)
Summary Gastrointestinal (GI) tract cancers are the most common malignant cancers with high mortality rate. Pan-cancer multi-omics data fusion provides a powerful strategy to examine commonalities and differences among various cancer types and benefi
Autor:
Mancang Zhang, Dong Wang, Yongyong Shi, Yizhou Xu, Xiaoqi Li, Renliang Sun, Juan Zhou, Ke Wang, Jianhua Chen, Hang Zhang, Zhuo Wang
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S22, Pp 1-13 (2019)
BMC Bioinformatics
BMC Bioinformatics
Background Variant calling and refinement from whole genome/exome sequencing data is a fundamental task for genomics studies. Due to the limited accuracy of NGS sequencing and variant callers, IGV-based manual review is required for further false pos