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ORCIDQuantitative Biology, Volume 7
Volume 7, Number 1, March 2019
- Xuegong Zhang:
QB: Embracing the future of quantitative understanding and engineering of life. 1-2 - Fuda Xie, Jiangyong Gu:
Computational methods and applications for quantitative systems pharmacology. 3-16 - Jing Zhao, Jian Yang, Saisai Tian
, Weidong Zhang:
A survey of web resources and tools for the study of TCM network pharmacology. 17-29 - Wen Yang, Xia Wang, Kenan Li, Yuanru Liu, Ying Liu, Rui Wang, Honglin Li:
Pharmacodynamics simulation of HOEC by a computational model of arachidonic acid metabolic network. 30-41 - Xinzhe Xiao, Zehui Chen, Zengrui Wu, Tianduanyi Wang, Weihua Li, Guixia Liu, Bo Zhang, Yun Tang:
Insights into the antineoplastic mechanism of Chelidonium majus via systems pharmacology approach. 42-53 - Lijie Hao, Zhuoqin Yang, Marc Turcotte:
Time-scale separation and stochasticity conspire to impact phenotypic dynamics in the canonical and inverted Bacillus subtilis core genetic regulation circuits. 54-68 - Samuel F. M. Hart, David Skelding, Adam James Waite, Justin C. Burton, Wenying Shou:
High-throughput quantification of microbial birth and death dynamics using fluorescence microscopy. 69-81
Volume 7, Number 2, June 2019
- Jiyu Fan, Ailing Fu, Le Zhang:
Progress in molecular docking. 83-89 - Xingyu Liao, Min Li, You Zou, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
Current challenges and solutions of de novo assembly. 90-109 - Lei Wei, Ye Yuan, Tao Hu, Shuailin Li, Tianrun Cheng, Jinzhi Lei, Zhen Xie, Michael Q. Zhang, Xiaowo Wang:
Regulation by competition: a hidden layer of gene regulatory network. 110-121 - Shashank Singh, Yang Yang, Barnabás Póczos, Jian Ma:
Predicting enhancer-promoter interaction from genomic sequence with deep neural networks. 122-137 - Tao Ding, Jie Gao, Shanshan Zhu, Junhua Xu, Min Wu:
Predicting microRNA-disease association based on microRNA structural and functional similarity network. 138-146 - Chuang Han, Yu Wu:
A model of NSCLC microenvironment predicts optimal receptor targets. 147-161 - Kui Hua, Xuegong Zhang:
A case study on the detailed reproducibility of a Human Cell Atlas project. 162-169
Volume 7, Number 3, September 2019
- Zhixin Ma, Pan M. Chu, Yingtong Su, Yue Yu, Hui Wen, Xiongfei Fu, Shuqiang Huang:
Applications of single-cell technology on bacterial analysis. 171-181 - Shichao Pang, Junchen Yang, Yilei Zhao, Yixue Li, Jingfang Wang:
Computational prediction and functional analysis of arsenic-binding proteins in human cells. 182-189 - Guojun Liu, Mikhail A. Bolkov, Irina A. Tuzankina, Irina G. Danilova:
Identification of candidate disease genes in patients with common variable immunodeficiency. 190-201 - Qingfeng Chen, Zhao Zhe, Wei Lan, Ruchang Zhang, Zhiqiang Wang, Cheng Luo, Yi-Ping Phoebe Chen:
Identifying MiRNA-disease association based on integrating miRNA topological similarity and functional similarity. 202-209 - Yang Yang, Qi Li, Zhaoyang Liu, Fang Ye, Ke Deng:
Understanding traditional Chinese medicine via statistical learning of expert-specific Electronic Medical Records. 210-232 - Shaoming Song, Hongfei Cui, Shengquan Chen, Qiao Liu, Rui Jiang:
EpiFIT: functional interpretation of transcription factors based on combination of sequence and epigenetic information. 233-243 - Yinqing Li, Miaomiao Tian:
2019 China Symposium on Single-Cell Genomics. 244-246
Volume 7, Number 4, December 2019
- Jie Zheng, Ke Wang:
Emerging deep learning methods for single-cell RNA-seq data analysis. 247-254 - Wazim Mohammed Ismail, Etienne Nzabarushimana, Haixu Tang:
Algorithmic approaches to clonal reconstruction in heterogeneous cell populations. 255-265 - Farzane Yahyanejad, Réka Albert, Bhaskar DasGupta:
A survey of some tensor analysis techniques for biological systems. 266-277 - Raffaella Rizzi, Stefano Beretta, Murray Patterson, Yuri Pirola, Marco Previtali, Gianluca Della Vedova, Paola Bonizzoni:
Overlap graphs and de Bruijn graphs: data structures for de novo genome assembly in the big data era. 278-292 - Xiaofeng Fu, Yang Yang:
WEDeepT3: predicting type III secreted effectors based on word embedding and deep learning. 293-301 - Vijayakumar Subramaniyan, Reetha Sekar, Arulmozhi Praveenkumar, Rajalakshmi Selvam:
Molecular modeling studies of repandusinic acid as potent small molecule for hepatitis B virus through molecular docking and ADME analysis. 302-312 - Zongliang Yue, Thanh Nguyen, Eric Zhang, Jianyi Zhang, Jake Y. Chen:
WIPER: Weighted in-Path Edge Ranking for biomolecular association networks. 313-326 - Hao Feng, Hao Wu:
Differential methylation analysis for bisulfite sequencing using DSS. 327-334 - Feng Liu, Yihan Lin, Chunmei Li, Miaomiao Tian:
Quantitative Biology 2019: Dynamic Signaling in Cells and Embryos. 335-337
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