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ORCIDEURASIP Journal on Bioinformatics and Systems Biology, Volume 2016
Volume 2016, 2016
- Ting Chen, Ulisses M. Braga-Neto:
Bayesian estimation of the discrete coefficient of determination. 1 - Amin Zollanvari
, Edward R. Dougherty:
Incorporating prior knowledge induced from stochastic differential equations in the classification of stochastic observations. 2 - Mircea Dumitru, Ali Mohammad-Djafari, Simona Baghai Sain:
Precise periodic components estimation for chronobiological signals through Bayesian Inference with sparsity enforcing prior. 3
- Dawit Nigatu, Werner Henkel, Patrick Sobetzko, Georgi Muskhelishvili:
Relationship between digital information and thermodynamic stability in bacterial genomes. 4 - Siamak Zamani Dadaneh, Xiaoning Qian:
Bayesian module identification from multiple noisy networks. 5 - Hiroko K. Solvang, Arnoldo Frigessi, Fateme Kaveh, Margit L. H. Riis, Torben Lüders, Ida R. K. Bukholm, Vessela N. Kristensen, Bettina K. Andreassen:
Gene expression analysis supports tumor threshold over 2.0 cm for T-category breast cancer. 6 - Kenta Kamatuka, Masahiro Hattori, Tomoyasu Sugiyama:
shRNA target prediction informed by comprehensive enquiry (SPICE): a supporting system for high-throughput screening of shRNA library. 7 - Lei Huang, Li Liao, Cathy H. Wu:
Inference of protein-protein interaction networks from multiple heterogeneous data. 8
- Yijie Wang, Xiaoning Qian:
Stochastic block coordinate Frank-Wolfe algorithm for large-scale biological network alignment. 9
- Mostafa A. Salama, Aboul Ella Hassanien, Ahmad Mostafa:
The prediction of virus mutation using neural networks and rough set techniques. 10
- William Giroldini, Luciano Pederzoli, Marco Bilucaglia, Simone Melloni, Patrizio Tressoldi:
A new method to detect event-related potentials based on Pearson's correlation. 11
- Yan Jin, Yi Su, Xiao-Hua Zhou, Shuai Huang:
Heterogeneous multimodal biomarkers analysis for Alzheimer's disease via Bayesian network. 12 - Kuan Wang, Jiebo Luo:
Detecting Visually Observable Disease Symptoms from Faces. 13
- Xia Hu, Peter D. Reaven, Aramesh Saremi, Ninghao Liu, Mohammad Ali Abbasi, Huan Liu, Raymond Q. Migrino:
Machine learning to predict rapid progression of carotid atherosclerosis in patients with impaired glucose tolerance. 14 - Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou:
Stochastic convex sparse principal component analysis. 15 - Victor Andrei, Ognjen Arandjelovic:
Complex temporal topic evolution modelling using the Kullback-Leibler divergence and the Bhattacharyya distance. 16
- Tianchuan Du, Li Liao, Cathy H. Wu:
Enhancing interacting residue prediction with integrated contact matrix prediction in protein-protein interaction. 17
- Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua:
Towards organizing health knowledge on community-based health services. 18 - Nurgazy Sulaimanov, Heinz Koeppl:
Graph reconstruction using covariance-based methods. 19
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