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2021年度发表论文

时间:2021-12-31    浏览次数:

51. Zhang, Y., et al., The Human Brain Is Best Described as Being on a Female/Male Continuum: Evidence from a Neuroimaging Connectivity Study. Cerebral Cortex, 2021. 31(6): p. 3021-3033.

52. Liu, L., H. Mamitsuka, and S. Zhu, HPOFiller: identifying missing protein-phenotype associations by graph convolutional network. Bioinformatics . 2021. doi: 10.1093/bioinformatics/btab224.

53. Liu, L., H. Mamitsuka, and S. Zhu, HPODNets: deep graph convolutional networks for predicting human protein-phenotype associations. Bioinformatics, 2021. doi: 10.1093/bioinformatics/btab729.

54. Orakov, A., et al., GUNC: detection of chimerism and contamination in prokaryotic genomes. Genome Biology, 2021. 22(1).

55. Dai, S.Y., et al., GrantExtractor: Accurate Grant Support Information Extraction from Biomedical Fulltext Based on Bi-LSTM-CRF. Ieee-Acm Transactions on Computational Biology and Bioinformatics, 2021. 18(1): p. 205-215.

56. Dai, D., et al., GMrepo v2: a curated human gut microbiome database with special focus on disease markers and cross-dataset comparison. Nucleic acids research, 1800. 50(D1): p. D777-D784.

57. Xu, J., et al., Global urbanicity is associated with brain and behaviour in young people. Nature human behaviour, 2021. doi: 10.1038/s41562-021-01204-7.

58. Dong, G., et al., A global overview of genetically interpretable multimorbidities among common diseases in the UK Biobank. Genome Medicine, 2021. 13(1).

59. Du, J., et al., The genetic determinants of language network dysconnectivity in drug-naive early stage schizophrenia. Npj Schizophrenia, 2021. 7(1).

60. Qin, B.W., L. Zhao, and W. Lin, A frequency-amplitude coordinator and its optimal energy consumption for biological oscillators. Nature Communications, 2021. 12(1).

61. Zheng, R., et al., Feasibility of automatic detection of small hepatocellular carcinoma (<= 2 cm) in cirrhotic liver based on pattern matching and deep learning. Physics in Medicine and Biology, 2021. 66(8).

62. Jia, T., et al., Epigenome-wide meta-analysis of blood DNA methylation and its association with subcortical volumes: findings from the ENIGMA Epigenetics Working Group. Molecular psychiatry, 2021. 26(8): p. 3884-3895.

63. Guo, X., et al., An ensemble learning method based on ordinal regression for COVID-19 diagnosis from chest CT. Physics in Medicine and Biology, 2021. 66(24).

64. Tahmasian, M., et al., ENIGMA-Sleep: Challenges, opportunities, and the road map. Journal of Sleep Research, 2021. 30(6):e13347.

65. Sun, A. and H. Wang, Editorial for "Non-Invasive Assessment of Damping of Blood Flow Velocity Pulsatility in Cerebral Arteries with 7 T MRI". Journal of Magnetic Resonance Imaging, 2021. doi: 10.1002/jmri.27988.

66. Wang, L., et al., Dopamine depletion and subcortical dysfunction disrupt cortical synchronization and metastability affecting cognitive function in Parkinson's disease. Human Brain Mapping, 2021. doi: 10.1002/hbm.25745.

67. Barker, E.D., et al., Do ADHD-impulsivity and BMI have shared polygenic and neural correlates? Molecular Psychiatry, 2021. 26(3): p. 1019-1028.

68. Zhang, Z., et al., Development of Disordered Eating Behaviors and Comorbid Depressive Symptoms in Adolescence: Neural and Psychopathological Predictors. Biological Psychiatry, 2021. 90(12): p. 853-862.

69. Zhou, W., et al., The development of brain functional connectome during text reading. Developmental Cognitive Neuroscience, 2021. 48.

70. Liu, Y., et al., DeepTL-Ubi: A novel deep transfer learning method for effectively predicting ubiquitination sites of multiple species. Methods, 2021. 192: p. 103-111.

71. You, R., et al., DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction. Bioinformatics, 2021. 37: p. I262-I271.

72. Zhao, X.-M. and F.-X. Wu, Deep networks and network representation in bioinformatics. Methods, 2021. 192: p. 1-2.

73. Wang, C., et al., Deep learning-based identification of acute ischemic core and deficit from non-contrast CT and CTA. Journal of Cerebral Blood Flow and Metabolism, 2021. 41(11): p. 3028-3038.

74. Zhao, X. and X.-M. Zhao, Deep learning of brain magnetic resonance images: A brief review. Methods, 2021. 192: p. 131-140.

75. Xu, W.J., et al., Cross-sectional exploration of brain functional connectivity in the triadic development model of adolescents. Brain Imaging and Behavior, 2021. 15(4): p. 1855-1867.

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76. Li, T., X. Zhao, and L. Li, Co-VAE: Drug-target binding affinity prediction by co-regularized variational autoencoders. IEEE transactions on pattern analysis and machine intelligence, 2021. doi: 10.1109/TPAMI.2021.3120428.

77. Cheng, G.H., H.L. Ji, and L.Y. He, Correcting and reweighting false label masks in brain tumor segmentation. Medical Physics, 2021. 48(1): p. 169-177.

78. Forslund, S.K., et al., Combinatorial, additive and dose-dependent drug-microbiome associations. Nature, 2021. 600(7889): p. 500-+.

79. Li, H., et al., circRNA-binding protein site prediction based on multi-view deep learning, subspace learning and multi-view classifier. Briefings in bioinformatics, 2021. doi: 10.1093/bib/bbab394.

80. Hou, J.W., et al., Changed transmission epidemiology of COVID-19 at early stage: A nationwide population-based piecewise mathematical modelling study. Travel Medicine and Infectious Disease, 2021. 39.

81. Liu, H.-G., et al., A Bulk Retrospective Study of Robot-Assisted Stereotactic Biopsies of Intracranial Lesions Guided by Videometric Tracker. Frontiers in Neurology, 2021. 12.

82. Zeng, T.P. and B.L. Si, A brain-inspired compact cognitive mapping system. Cognitive Neurodynamics, 2021. 15(1): p. 91-101.

83. Gong, W., et al., Brain structure is linked to the association between family environment and behavioral problems in children in the ABCD study. Nature Communications, 2021. 12(1).

84. Luo, Q. and B.J. Sahakian, Brain sex differences: the androgynous brain is advantageous for mental health and well-being. Neuropsychopharmacology, 2022. 47(1): p. 407-408.

85. Zhao, X., et al., Brain Development From Newborn to Adolescence: Evaluation by Neurite Orientation Dispersion and Density Imaging. Frontiers in Human Neuroscience, 2021. 15.

86. Wei, L., et al., Brain controllability and morphometry similarity of internet gaming addiction. Methods, 2021. 192: p. 93-102.

87. You, R., et al., BERTMeSH: deep contextual representation learning for large-scale high-performance MeSH indexing with full text. Bioinformatics, 2021. 37(5): p. 684-692.

88. Zhao, B., et al., AUCseg: An Automatically Unsupervised Clustering Toolbox for 3D-Segmentation of High-Grade Gliomas in Multi-Parametric MR Images. Frontiers in Oncology, 2021. 11.

89. Huang, Y.T., et al., Asynchronous optimization of part logistics routing problem. Journal of Global Optimization. 2021.doi: 10.1007/s10898-021-01078-z.

90. Wang, L., et al., Association of specific biotypes in patients with Parkinson disease and disease progression. Neurology, 2020. 95(11): p. E1445-E1460.

91. Du, J., et al., Association between parental age, brain structure, and behavioral and cognitive problems in children. Molecular Psychiatry, 2021. doi: 10.1038/s41380-021-01325-5.

92. Wang, Z., et al., ARG-SHINE: improve antibiotic resistance class prediction by integrating sequence homology, functional information and deep convolutional neural network. NAR genomics and bioinformatics, 2021. 3(3): p. lqab066-lqab066.

93. Huang, Y., et al., An Approach Based on Mammographic Imaging and Radiomics for Distinguishing Male Benign and Malignant Lesions: A Preliminary Study. Frontiers in Oncology, 2021. 10.

94. Liu, C., et al., ALDH1A1 Activity in Tumor-Initiating Cells Remodels Myeloid-Derived Suppressor Cells to Promote Breast Cancer Progression. Cancer Research, 2021. 81(23): p. 5919-5934.

95. Du, L., et al., AGO-Net: Association-Guided 3D Point Cloud Object Detection Network. IEEE transactions on pattern analysis and machine intelligence, 2021. doi: 10.1109/TPAMI.2021.3104172.

96. Mandali, A., et al., Acute Time-Locked Alpha Frequency Subthalamic Stimulation Reduces Negative Emotional Bias in Parkinson's Disease. Biological Psychiatry-Cognitive Neuroscience and Neuroimaging, 2021. 6(5): p. 568-578.

97. Shi, K., et al., A 12-genus bacterial signature identifies a group of severe autistic children with differential sensory behavior and brain structures. Clinical and Translational Medicine, 2021. 11(2).

98. Wang, Q., et al., R1ρ at high spin-lock frequency could be a complementary imaging biomarker for liver iron overload quantification. Magnetic Resonance Imaging. 2021. 75:141-148.



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