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2019年度单位署名论文

发布时间:2021-01-05浏览量:511

2019年度单位署名论文


1. Borchert, R., Rittman, T., Rae, C., Passamonti, L., Jones, S., Vatansever, D., Rodriguez, P., Ye, Z., Nombela, C., Hughes, L., Robbins, T., & Rowe, J. (2019). Atomoxetine and citalopram alter brain network organization in Parkinson's disease. Brain Communications, 1(1). Atomoxetine and citalopram alter brain network organization in Parkinson’s disease.pdf


2. Chao, H., He, Y., Zhang, J., Feng, J., & Aaai (2019). GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition. Thirty-Third Aaai Conference on Artificial Intelligence.


3. Chen, J. (2019). A fully-automated event-based variant prioritizing solution to the CAGI5 intellectual disability gene panel challenge. Human Mutation, 40(9), 1364-1372. A fully‐automated event‐based variant prioritizing solution to the CAGI5 intellectual disability gene panel challenge.pdf


4. Chen, L., Ji, P., Waxman, D., Lin, W., & Kurths, J. (2019). Effects of dynamical and structural modifications on synchronization. Chaos, 29(8).


5. Chen, S., Chen, Y., Sun, F., Waterman, M., & Zhang, X. (2019). A new statistic for efficient detection of repetitive sequences. Bioinformatics, 35(22), 4596-4606. A new statistic for efficient detection of repetitive sequences..pdf


6. Coelho, L., Alves, R., Monteiro, P., Huerta-Cepas, J., Freitas, A., & Bork, P. (2019). NG-meta-profiler: fast processing of metagenomes using NGLess, a domain-specific language. Microbiome, 7. NG-meta-profiler fast processing of metagenomes using NGLess, a domain-specific language.pdf


7. Deng, M., Feng, J., Qian, H., Wan, L., & Sun, F. (2019). International Workshop on Applications of Probability and Statistics to Biology, July 11-13, 2019: -In Honor of Professor Minping Qian's 80th Birthday. Quantitative BiologyInternational Workshop on Applications of Probability and Statistics to Biology.pdf


8. Du, L., Tan, J., Yang, H., Feng, J., Xue, X., Zheng, Q., Ye, X., Zhang, X., & Ieee (2019). SSF-DAN: Separated Semantic Feature based Domain Adaptation Network for Semantic Segmentation. 2019 Ieee/Cvf International Conference on Computer Vision, 982-991. SSF-DAN Separated Semantic Feature based Domain Adaptation Network for Semantic Segmentation.pdf


9. Duren, Z., Wang, Y., Wang, J., Zhao, X.M., Lv, L., Li, X., Liu, J., Zhu, X.G., Chen, L., & Wang, Y. (2019). Hierarchical graphical model reveals HFR1 bridging circadian rhythm and flower development in Arabidopsis thaliana. Npj Systems Biology and Applications, 5. Hierarchical graphical model reveals HFR1 bridging circadian rhythm and flower development in Arabidopsis thaliana.pdf


10. Evangelou, E., Gao, H., Chu, C., Ntritsos, G., Blakeley, P., Butts, A., Pazoki, R., Suzuki, H., Koskeridis, F., Yiorkas, A., Karaman, I., Elliott, J., Luo, Q., Aeschbacher, S., Bartz, T., Baumeister, S., Braund, P., Brown, M., Brody, J., Clarke, T.K., Dimou, N., Faul, J., Homuth, G., Jackson, A., Kentistou, K., Joshi, P., Lemaitre, R., Lind, P., Lyytikainen, L.P., Mangino, M., Milaneschi, Y., Nelson, C., Nolte, I., Perala, M.M., Polasek, O., Porteous, D., Ratliff, S., Smith, J., Stancakova, A., Teumer, A., Tuominen, S., Theriault, S., Vangipurapu, J., Whitfield, J., Wood, A., Yao, J., Yu, B., Zhao, W., Arking, D., Auvinen, J., Liu, C., Mannikko, M., Risch, L., Rotter, J., Snieder, H., Veijola, J., Blakemore, A., Boehnke, M., Campbell, H., Conen, D., Eriksson, J., Grabe, H., Guo, X., Harst, P., Hartman, C., Hayward, C., Heath, A., Jarvelin, M.R., Kahonen, M., Kardia, S., Kuhne, M., Kuusisto, J., Laakso, M., Lahti, J., Lehtimaki, T., McIntosh, A., Mohlke, K., Morrison, A., Martin, N., Oldehinkel, A., Penninx, B., Psaty, B., Raitakari, T., Rudan, I., Samani, N., Scott, L., Spector, T., Verweij, N., Weir, D., Wilson, J., Levy, D., Tzoulaki, I., Bell, J., Matthews, P., Rothenfluh, A., Desrivieres, S., Schumann, G., & Elliott, P. (2019). New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders. Nature Human Behaviour, 3(9), 950-961. New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders.pdf


11. Fan, Z. (2019). A dimensionality reduction method of continuous dependent variables based supervised Laplacian eigenmaps. Journal of Statistical Computation and Simulation, 89(11), 2073-2083.


12. Fu, X., & Yu, Y. (2019). Reliable and efficient processing of sensory information at body temperature by rodent cortical neurons. Nonlinear Dynamics, 98(1), 215-231.


13. Gao, Z.K., Liu, X.R., Ma, C., Ma, K., Gao, S., & Zhang, J. (2019). Functional alteration of brain network in schizophrenia: An fMRI study based on mutual information. Epl, 128(5).


14. Gong, W., Cheng, F., Rolls, E., Lo, C.Y., Huang, C.C., Tsai, S.J., Yang, A., Lin, C.P., & Feng, J. (2019). A powerful and efficient multivariate approach for voxel-level connectome-wide association studies. Neuroimage, 188, 628-641. A powerful and efficient multivariate approach for voxel-level connectome-wide association studies (2).pdf


15. Han, J., Qu, J., & Han, D. (2019). An algorithm of detecting lesion on the airway of COPD via DNN visualization. Basic & Clinical Pharmacology & Toxicology, 125, 17-18.


16. Han, L., Duan, W., Li, X., Wang, C., Jin, Z., Zhai, Y., Cao, C., Chen, L., Xu, W., Liu, Y., Bi, Y.Y., Feng, J., Mao, Y., Yue, Q., Zhang, X.Y., & Li, C. (2019). Surface-Enhanced Resonance Raman Scattering-Guided Brain Tumor Surgery Showing Prognostic Benefit in Rat Models. Acs Applied Materials & Interfaces, 11(17), 15241-15250. Surface-enhanced resonance raman scattering-guided brain tumor surgery showing prognostic benefit in rat models.pdf


17. Han, Y., Lu, W., Chen, T., & Sun, C. (2019). Optimizing Pinned Nodes to Maximize the Convergence Rate of Multiagent Systems with Digraph Topologies. Complexity.


18. Ho, N., Wang, X., Vatansever, D., Margulies, D., Bernhardt, B., Jefferies, E., & Smallwood, J. (2019). Individual variation in patterns of task focused, and detailed, thought are uniquely associated within the architecture of the medial temporal lobe. Neuroimage, 202. Individual variation in patterns of task focused, and detailed, thought are uniquely associated within the architecture of the medial temporal lobe.pdf


19. Ibarbalz, F., Henry, N., Brandao, M., Martini, V., Busseni, G., Byrne, H., Coelho, L., Endo, H., Gasol, J., Gregory, A., Mahe, F., Rigonato, J., Royo-Llonch, M., Salazar, G., Sanz-Saez, I., Scalco, E., Soviadan, D., Zayed, A., Zingone, A., Labadie, K., Ferland, J., Marec, C., Kandels, S., Picheral, M., Dimier, C., Poulain, J., Pisarev, S., Carmichael, M., Pesant, S., Acinas, S., Babin, M., Bork, P., Boss, E., Bowler, C., Cochrane, G., Vargas, C., Follows, M., Gorsky, G., Grimsley, N., Guidi, L., Hingamp, P., Iudicone, D., Jaillon, O., Karp-Boss, L., Karsenti, E., Not, F., Ogata, H., Poulton, N., Raes, J., Sardet, C., Speich, S., Stemmann, L., Sullivan, M., Sunagawa, S., Wincker, P., Bopp, L., Lombard, F., Zinger, L., & Tara Oceans, C. (2019). Global Trends in Marine Plankton Diversity across Kingdoms of Life. Cell, 179(5), 1084-+.


20. Ing, A., Saemann, P., Chu, C., Tay, N., Biondo, F., Robertl, G., Jia, T., Wolfers, T., Desrivieres, S., Banaschewski, T., Bokde, A., Bromberg, U., Buechel, C., Conrod, P., Fadai, T., Flor, H., Frouin, V., Garavan, H., Spechler, P., Gowlandl, P., Grimmer, Y., Heinz, A., Ittermann, B., Kappel, V., Martinot, J.L., Meyer-Lindenberg, A., Millenets, S., Neess, F., Noort, B., Orfanos, D., Martinot, M.L., Penttilae, J., Poustka, L., Quinlan, E., Smolka, M., Stringaris, A., Struve, M., Veer, I., Walter, H., Whelan, R., Andreassen, O., Agartz, I., Lemaitre, H., Barker, E., Ashburner, J., Binder, E., Buitelaar, J., Marquand, A., Robbins, T., Schumann, G., & Consortium, I. (2019). Identification of neurobehavioural symptom groups based on shared brain mechanisms. Nature Human Behaviour, 3(12), 1306-1318.


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