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2020年度单位署名论文

发布时间:2021-01-05浏览量:2544

81. Wang, T. (2020). Graph-Assisted Inverse Regression for Count Data and Its Application to Sequencing Data. Journal of Computational and Graphical Statistics, 29(3), 444-454. Graph-Assisted Inverse Regression for Count Data and Its Application to Sequencing Data.pdf


82. Wang, X., Liu, H., Morstein, J., Novak, A., Trauner, D., Xiong, Q., Yu, Y., & Ge, S. (2020). Metabolic tuning of inhibition regulates hippocampal neurogenesis in the adult brain. Proceedings of the National Academy of Sciences of the United States of America, 117(41), 25818-25829. Metabolic tuning of inhibition regulates hippocampal neurogenesis in the adult brain.pdf


83. Wang, X., Tian, Y., Zhao, X., Yang, T., Gelernter, J., Wang, J., Cheng, G., & Hu, W. (2020). Improving Multiperson Pose Estimation by Mask-aware Deep Reinforcement Learning. Acm Transactions on Multimedia Computing Communications and Applications, 16(3). Improving Multiperson Pose Estimation by Mask-aware Deep Reinforcement Learning.pdf


84. Wang, Y., Jiang, L., Zhang, Y., Lu, Y., Li, J., Wang, H., Yao, D., & Wang, D. (2020). Fibronectin-Targeting and Cathepsin B-Activatable Theranostic Nanoprobe for MR/Fluorescence Imaging and Enhanced Photodynamic Therapy for Triple Negative Breast Cancer. Acs Applied Materials & Interfaces, 12(30), 33564-33574. Fibronectin-Targeting and Cathepsin B‐Activatable Theranostic Nanoprobe for MRFluorescence Imaging and Enhanced Photodynamic Therapy for Triple Negative Breast Cancer.pdf


85. Wang, Z., Wang, Y., Fuhrman, J., Sun, F., & Zhu, S. (2020). Assessment of metagenomic assemblers based on hybrid reads of real and simulated metagenomic sequences. Briefings in Bioinformatics, 21(3), 777-790. Assessment of metagenomic assemblers based on hybrid reads of real and simulated metagenomic sequences.pdf


86. Wu, S., Sun, C., Li, Y., Wang, T., Jia, L., Lai, S., Yang, Y., Luo, P., Dai, D., Yang, Y.Q., Luo, Q., Gao, N., Ning, K., He, L.j., Zhao, X.M., & Chen, W.H. (2020). GMrepo: a database of curated and consistently annotated human gut metagenomes. Nucleic Acids Research, 48(D1), D545-D553. GMrepo a database of curated and consistently annotated human gut metagenomes.pdf


87. Xu, W., Ying, F., Luo, Y., Zhang, X.Y., & Li, Z. (2020). Cross-sectional exploration of brain functional connectivity in the triadic development model of adolescents. Brain Imaging and Behavior. Cross-sectional exploration of brain functional connectivity in the triadic development model of adolescents.pdf


88. Xu, X., Dai, J., Chen, Y., Liu, C., Xin, F., Zhou, X., Zhou, F., Stamatakis, E., Yao, S., Luo, L., Huang, Y., Wang, J., Zou, Z., Vatansever, D., Kendrick, K., Zhou, B., & Becker, B. (2020). Intrinsic connectivity of the prefrontal cortex and striato-limbic system respectively differentiate major depressive from generalized anxiety disorder. Neuropsychopharmacology. Intrinsic connectivity of the prefrontal cortex and striato-limbic system respectively differentiate Major Depressive from Generalized Anxiety Disorder.pdf


89. Yang, F., Li, S., Xiang, J., Zhao, X., & Li, F. (2020). Transcriptome analysis reveals the regulation of the shrimp STAT on host chitin-binding domain containing proteins and energy metabolism process during WSSV infection. Fish & Shellfish Immunology, 100, 345-357. Transcriptome analysis reveals the regulation of the shrimp STAT on host chitin-binding domain containing proteins and energy metabolism process during WSSV infection.pdf


90. Yang, H., Wang, M., Yu, Z., Zhao, X.M., & Li, A. (2020). GANcon: Protein Contact Map Prediction With Deep Generative Adversarial Network. Ieee Access, 8, 80899-80907. GANcon protein contact map prediction with deep generative adversarial network .pdf


91. Yang, L., Jin, Y., Wang, X., Yu, B., Chen, R., Zhang, C., Zhao, Y., Yu, Y., Liu, Y., & Wei, D. (2020). Antifouling Field-Effect Transistor Sensing Interface Based on Covalent Organic Frameworks. Advanced Electronic Materials, 6(5). Antifouling Field-Effect Transistor Sensing Interface Based on Covalent Organic Frameworks.pdf


92. Ye, J., Ji, P., Waxman, D., Lin, W., & Moreno, Y. (2020). Impact of intra and inter-cluster coupling balance on the performance of nonlinear networked systems. Chaos Solitons & Fractals, 139. Impact of intra and inter-cluster coupling balance on the performance of nonlinear networked systems.pdf


93. Yu, S.y., & Pu, J. (2020). Aggregated context network for crowd counting. Frontiers of Information Technology & Electronic Engineering, 21(11), 1626-1638.


94. Yu, T., Jia, T., Zhu, L., Desrivieres, S., Macare, C., Bi, Y., Bokde, A., Quinlan, E., Heinz, A., Ittermann, B., Liu, C., Ji, L., Banaschewski, T., Ren, D., Du, L., Hou, B., Flor, H., Frouin, V., Garavan, H., Gowland, P., Martinot, J.L., Martinot, M.L., Nees, F., Orfanos, D., Luo, Q., Chu, C., Paus, T., Poustka, L., Hohmann, S., Millenet, S., Smolka, M., Vetter, N., Mennigen, E., Lei, C., Walter, H., Frohner, J., Whelan, R., He, G., He, L., Schumann, G., Robert, G., & Consortium, I. (2020). Cannabis-Associated Psychotic-like Experiences Are Mediated by Developmental Changes in the Parahippocampal Gyrus. Journal of the American Academy of Child and Adolescent Psychiatry, 59(5), 642-649.


95. Yuan, H., Zhu, X., Tang, W., Cai, Y., Shi, S., & Luo, Q. (2020). Connectivity between the anterior insula and dorsolateral prefrontal cortex links early symptom improvement to treatment response. Journal of Affective Disorders, 260, 490-497.


96. Zang, K.K., Xiao, X., Chen, L.Q., Yang, Y., Cao, Q.L., Tang, Y.L., Lv, S.S., Cao, H., Zhang, L., & Zhang, Y.Q. (2020). Distinct Function of Estrogen Receptors in the Rodent Anterior Cingulate Cortex in Pain-related Aversion. Anesthesiology, 133(1), 165-184.


97. Zeng, T., & Si, B. (2020). A brain-inspired compact cognitive mapping system. Cognitive Neurodynamics.


98. Zeng, T., & Si, B. (2020). Video data for the cognitive mapping process of NeuroBayesSLAM system. Data in Brief, 30.


99. Zeng, T., Tang, F., Ji, D., & Si, B. (2020). NeuroBayesSLAM: Neurobiologically inspired Bayesian integration of multisensory information for robot navigation. Neural Networks, 126, 21-35.


100.Zhang, F., Li, X., & Tian, W. (2020). Unsupervised Inference of Developmental Directions for Single Cells Using VECTOR. Cell Reports, 32(8).


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