缩写名/全名 |
PLOS COMPUT BIOL
PLoS Computational Biology |
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ISSN号 | 1553-7358 | ||||||||||||
研究方向 | BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY | ||||||||||||
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出版国家 | UNITED STATES | ||||||||||||
出版周期 | |||||||||||||
年文章数 | 655 | ||||||||||||
出版年份 | 0 | ||||||||||||
是否OA | Yes | ||||||||||||
审稿周期(仅供参考) | 很快,2-3周 |
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投稿链接 | http://www.editorialmanager.com/pcompbiol/default.aspx | ||||||||||||
投稿官网 | http://journals.plos.org/ploscompbiol/ | ||||||||||||
h-index | 138 | ||||||||||||
CiteScore |
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PubMed Central (PMC)链接 | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1553-7358%5BISSN%5D | ||||||||||||
中科院SCI期刊分区 ( 2018年新版本) |
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中科院SCI期刊分区 ( 2020年新版本) |
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中国学者近期发表的论文 | |
1. | LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities Author: Lei Wang, Zhu-Hong You, Xing Chen, Yang-Ming Li, Ya-Nan Dong, Li-Ping Li, Kai Zheng Journal: PLoS Computational Biology, 2019, Vol.15, e1006865, DOI:10.1371/journal.pcbi.1006865 DOI |
2. | OptRAM: In-silico strain design via integrative regulatory-metabolic network modeling Author: Fangzhou Shen, Renliang Sun, Jie Yao, Jian Li, Qian Liu, Nathan D. Price, Chenguang Liu, Zhuo Wang Journal: PLoS Computational Biology, 2019, Vol.15, e1006835, DOI:10.1371/journal.pcbi.1006835 DOI |
3. | An enriched network motif family regulates multistep cell fate transitions with restricted reversibility Author: Yujie Ye, Xin Kang, Jordan Bailey, Chunhe Li, Tian Hong Journal: PLoS Computational Biology, 2019, Vol.15, e1006855, DOI:10.1371/journal.pcbi.1006855 DOI |
4. | Determination of effective synaptic conductances using somatic voltage clamp Author: Songting Li, Nan Liu, Li Yao, Xiaohui Zhang, Douglas Zhou, David Cai Journal: PLoS Computational Biology, 2019, Vol.15, e1006871, DOI:10.1371/journal.pcbi.1006871 DOI |
5. | Spatial clustering and common regulatory elements correlate with coordinated gene expression Author: Jingyu Zhang, Hengyu Chen, Ruoyan Li, David A. Taft, Guang Yao, Fan Bai, Jianhua Xing Journal: PLoS Computational Biology, 2019, Vol.15, e1006786, DOI:10.1371/journal.pcbi.1006786 DOI |
6. | A component overlapping attribute clustering (COAC) algorithm for single-cell RNA sequencing data analysis and potential pathobiological implications Author: He Peng, Xiangxiang Zeng, Yadi Zhou, Defu Zhang, Ruth Nussinov, Feixiong Cheng Journal: PLoS Computational Biology, 2019, Vol.15, e1006772, DOI:10.1371/journal.pcbi.1006772 DOI |
7. | A hierarchical sparse coding model predicts acoustic feature encoding in both auditory midbrain and cortex Author: Qingtian Zhang, Xiaolin Hu, Bo Hong, Bo Zhang Journal: PLoS Computational Biology, 2019, Vol.15, e1006766, DOI:10.1371/journal.pcbi.1006766 DOI |
8. | Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods Author: Song-Yao Zhang, Shao-Wu Zhang, Xiao-Nan Fan, Jia Meng, Yidong Chen, Shou-Jiang Gao, Yufei Huang Journal: PLoS Computational Biology, 2019, Vol.15, e1006663, DOI:10.1371/journal.pcbi.1006663 DOI |
9. | PremPDI estimates and interprets the effects of missense mutations on protein-DNA interactions Author: Ning Zhang, Yuting Chen, Feiyang Zhao, Qing Yang, Franco L. Simonetti, Minghui Li Journal: PLoS Computational Biology, 2018, Vol.14, e1006615, DOI:10.1371/journal.pcbi.1006615 DOI |
10. | SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions Author: Wen Zhang, Xiang Yue, Guifeng Tang, Wenjian Wu, Feng Huang, Xining Zhang Journal: PLoS Computational Biology, 2018, Vol.14, e1006616, DOI:10.1371/journal.pcbi.1006616 DOI |
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