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BMC Systems Biology, Volume 11- Supplements
Volume 11, Number S-1, February 2017
- Andjela Rodic, Bojana Blagojevic, Evgeny M. Zdobnov, Magdalena Djordjevic, Marko Djordjevic:
Understanding key features of bacterial restriction-modification systems through quantitative modeling. 1-15 - Leonid V. Omelyanchuk, Alina F. Munzarova:
Theoretical model of mitotic spindle microtubule growth for FRAP curve interpretation. 17-26 - Olga A. Podkolodnaya, Natalya N. Tverdokhleb, Nikolay Podkolodnyy:
Computational modeling of the cell-autonomous mammalian circadian oscillator. 27-42
Volume 11, Number S-2, March 2017
- Pavithra K. Balasubramanian, Anand Balupuri, Hee-Young Kang, Seung Joo Cho:
Receptor-guided 3D-QSAR studies, molecular dynamics simulation and free energy calculations of Btk kinase inhibitors. 6:1-6:11 - Qiao Liu, Mingxin Gan, Rui Jiang:
A sequence-based method to predict the impact of regulatory variants using random forest. 7:1-7:9 - Weiqi Chen, Jing Liu, Shan He:
Prior knowledge guided active modules identification: an integrated multi-objective approach. 8:1-8:12 - Zhanzhan Cheng, Kai Huang, Yang Wang, Hui Liu, Jihong Guan, Shuigeng Zhou:
Selecting high-quality negative samples for effectively predicting protein-RNA interactions. 9:1-9:11 - Ji Hwan Moon, Sangsoo Lim, Kyuri Jo, Sangseon Lee, Seokjun Seo, Sun Kim:
PINTnet: construction of condition-specific pathway interaction network by computing shortest paths on weighted PPI. 15:1-15:13 - Daesik Choi, Byungkyu Park, Hanju Chae, Wook Lee, Kyungsook Han:
Predicting protein-binding regions in RNA using nucleotide profiles and compositions. 16:1-16:12
Volume 11, Number 3, March 2017
- Amin Zollanvari, Gil Alterovitz:
SNP by SNP by environment interaction network of alcoholism. 19:1-19:11 - Hyundoo Jeong, Byung-Jun Yoon:
SEQUOIA: significance enhanced network querying through context-sensitive random walk and minimization of network conductance. 20:1-20:11 - Minghan Chen, Fei Li, Shuo Wang, Young Cao:
Stochastic modeling and simulation of reaction-diffusion system with Hill function dynamics. 21:1-21:11 - Yijie Wang, Xiaoning Qian:
Finding low-conductance sets with dense interactions (FLCD) for better protein complex prediction. 22:1-22:11 - Xiaoxia Liu, Zhihao Yang, Hongfei Lin, Michael Simmons, Zhiyong Lu:
DIGNiFI: Discovering causative genes for orphan diseases using protein-protein interaction networks. 23:1-23:11
Volume 11, Number S-4, September 2017
- Mingxin Gan, Wenran Li, Wanwen Zeng, Xiaojian Wang, Rui Jiang:
Mimvec: a deep learning approach for analyzing the human phenome. 3-16 - Bo Tian, Can Zhao, Feiyang Gu, Zengyou He:
A two-step framework for inferring direct protein-protein interaction network from AP-MS data. 17-25 - Zehua Zhang, Kecheng Guo, Gaofeng Pan, Jijun Tang, Fei Guo:
Improvement of phylogenetic method to analyze compositional heterogeneity. 27-33 - Changhe Fu, Su Deng, Guangxu Jin, Xinxin Wang, Zu-Guo Yu:
Bayesian network model for identification of pathways by integrating protein interaction with genetic interaction data. 35-42 - Fei Liu, Deshun Sun, Ryutaro Murakami, Hiroshi Matsuno:
Modeling and analysis of the Delta-Notch dependent boundary formation in the Drosophila large intestine. 43-60 - Duanchen Sun, Yinliang Liu, Xiang-Sun Zhang, Ling-Yun Wu:
NetGen: a novel network-based probabilistic generative model for gene set functional enrichment analysis. 61-74 - Xiaofei Shi, Ruiqi Wang:
Glioma cell fate decisions mediated by Dll1-Jag1-Fringe in Notch1 signaling pathway. 75-84 - Yong Wang, Xiang-Sun Zhang, Luonan Chen:
Understanding biological systems through the lens of data. 77:1-77:2 - Jing He, Zhou Zhou, Michael Reed, Andrea Califano:
Accelerated parallel algorithm for gene network reverse engineering. 85-97 - Yuzhen Guo, Fengying Tao, Zikai Wu, Yong Wang:
Hybrid method to solve HP model on 3D lattice and to probe protein stability upon amino acid mutations. 99-111 - Jie Gao, Kang Wang, Tao Ding, Shanshan Zhu:
Forecasting influenza A pandemic outbreak using protein dynamical network biomarkers. 113-119
Volume 11, Number S-5, October 2017
- Haoyang Wu, Elise Miller, Denethi Wijegunawardana, Kelly Regan, Philip R. O. Payne, Fuhai Li:
MD-Miner: a network-based approach for personalized drug repositioning. 86:1-86:8 - Jingchun Sun, Qiang Wei, Yubo Zhou, Jingqi Wang, Qi Liu, Hua Xu:
A systematic analysis of FDA-approved anticancer drugs. 87:1-87:17 - W. Jim Zheng, Jianhua Ruan, Hua Xu, Zhongming Zhao, Zhangdong Liu:
The International Conference on Intelligent Biology and Medicine (ICIBM) 2016: putting systems biology to work. 88:1-88:3 - Jin Li, Yang Wang, Xi Rao, Yue Wang, Weixing Feng, Hong Liang, Yunlong Liu:
Roles of alternative splicing in modulating transcriptional regulation. 89:1-89:12 - Biao Li, Amanda Sierra, Juan Jose Deudero, Fatih Semerci, Andrew Laitman, Marek Kimmel, Mirjana Maletic-Savatic:
Multitype Bellman-Harris branching model provides biological predictors of early stages of adult hippocampal neurogenesis. 90:1-90:16 - Ru-Dong Li, Yin Wang, Hui Cheng, Gang Liu, Tao Cheng, Yunlong Liu, Lei Liu:
System modeling reveals the molecular mechanisms of HSC cell cycle alteration mediated by Maff and Egr3 under leukemia. 91:1-91:12 - Xinan Holly Yang, Fangming Tang, Jisu Shin, John M. Cunningham:
Incorporating genomic, transcriptomic and clinical data: a prognostic and stem cell-like MYC and PRC imbalance in high-risk neuroblastoma. 92:1-92:17 - Turki Turki, Zhi Wei:
A link prediction approach to cancer drug sensitivity prediction. 94:1-94:14
Volume 11, Number 6, December 2017
- Quan Zou, Shixiang Wan, Xiangxiang Zeng, Zhanshan (Sam) Ma:
Reconstructing evolutionary trees in parallel for massive sequences. 15-21 - Wen Zhang, Xiang Yue, Feng Liu, Yanlin Chen, Shikui Tu, Xining Zhang:
A unified frame of predicting side effects of drugs by using linear neighborhood similarity. 23-34 - Qi Li, Yongyi Gong:
A geometric method for contour extraction of Drosophila embryos. 35-44 - Hao Jiang, Wai-Ki Ching, Yushan Qiu, Xiaoqing Cheng:
Optimal projection method determination by Logdet Divergence and perturbed von-Neumann Divergence. 45-61 - Jin-Xing Liu, Dong-Qin Wang, Chun-Hou Zheng, Ying-Lian Gao, Sha-Sha Wu, Junliang Shang:
Identifying drug-pathway association pairs based on L2, 1-integrative penalized matrix decomposition. 63-73 - Ou Wei, Zonghao Guo, Yun Niu, Wenyuan Liao:
Model checking optimal finite-horizon control for probabilistic gene regulatory networks. 75-88 - Morteza Zihayat, Heidar Davoudi, Aijun An:
Mining significant high utility gene regulation sequential patterns. 109:1-109:14
Volume 11, Number S-7, December 2017
- Lichun Ma, Jie Zheng:
A polynomial based model for cell fate prediction in human diseases. 15-27 - Kai-Yao Huang, Tzu-Hao Chang, Jhih-Hua Jhong, Yu-Hsiang Chi, Wen-Chi Li, Chien-Lung Chan, K. Robert Lai, Tzong-Yi Lee:
Identification of natural antimicrobial peptides from bacteria through metagenomic and metatranscriptomic analysis of high-throughput transcriptome data of Taiwanese oolong teas. 29-44 - Ying Xu, Jiaogen Zhou, Shuigeng Zhou, Jihong Guan:
CPredictor3.0: detecting protein complexes from PPI networks with expression data and functional annotations. 45-56 - Cong-Doan Truong, Yung-Keun Kwon:
Investigation on changes of modularity and robustness by edge-removal mutations in signaling networks. 57-68 - Min-Gang Su, Julia Tzu-Ya Weng, Justin Bo-Kai Hsu, Kai-Yao Huang, Yu-Hsiang Chi, Tzong-Yi Lee:
Investigation and identification of functional post-translational modification sites associated with drug binding and protein-protein interactions. 69-80 - Daniel Trejo-Baños, Pauline Trébulle, Mohamed Elati:
Integrating transcriptional activity in genome-scale models of metabolism. 81-90 - Huipeng Li, Lakshmi Venkatraman, Balakrishnan Chakrapani Narmada, Jacob K. White, Hanry Yu, Lisa Tucker-Kellogg:
Computational analysis reveals the coupling between bistability and the sign of a feedback loop in a TGF-β1 activation model. 91-99 - Maulida Mazaya, Hung-Cuong Trinh, Yung-Keun Kwon:
Construction and analysis of gene-gene dynamics influence networks based on a Boolean model. 101-111 - Qingping Liu, Jiahao Wang, Yan Zhu, Yongqun He:
Ontology-based systematic representation and analysis of traditional Chinese drugs against rheumatism. 113-125 - Zhiwei Ji, Bing Wang, Ke Yan, Ligang Dong, Guanmin Meng, Lei Shi:
A linear programming computational framework integrates phosphor-proteomics and prior knowledge to predict drug efficacy. 127:1-127:13 - Hui-Ju Kao, Shun-Long Weng, Kai-Yao Huang, Fergie Joanda Kaunang, Justin Bo-Kai Hsu, Chien-Hsun Huang, Tzong-Yi Lee:
MDD-carb: a combinatorial model for the identification of protein carbonylation sites with substrate motifs. 127-140 - Ben-gong Zhang, Weibo Li, Yazhou Shi, Xiaoping Liu, Luonan Chen:
Detecting causality from short time-series data based on prediction of topologically equivalent attractors. 141-150 - Shun Asami, Daisuke Kiga, Akihiko Konagaya:
Constraint-based perturbation analysis with cluster Newton method: a case study of personalized parameter estimations with irinotecan whole-body physiologically based pharmacokinetic model. 151-162 - Hao Jiang, Wai-Ki Ching, Wai-Shun Cheung, Wenpin Hou, Hong Yin:
Hadamard Kernel SVM with applications for breast cancer outcome predictions. 163-174
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