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Brain functional networks in syndromic and non-syndromic autism: a graph theoretical study of EEG connectivity

• Authors : Peters, Jurriaan M.; Taquet, Maxime; Vega, Clemente

Subjects: graph theory; functional connectivity; electroencephalogram

• Source: Peters, Jurriaan M, Maxime Taquet, Clemente Vega, Shafali S Jeste, Iván Fernández, Jacqueline Tan, Charles A Nelson, Mustafa Sahin, and Simon K Warfield. 2013. “Brain Functional Networks in

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A Spectral Graph Regression Model for Learning Brain Connectivity of Alzheimer’s Disease

• Authors : Hu, Chenhui; Cheng, Lin; Sepulcre, Jorge

• Source: Hu, Chenhui, Lin Cheng, Jorge Sepulcre, Keith A. Johnson, Georges E. Fakhri, Yue M. Lu, and Quanzheng Li. 2015. “A Spectral Graph Regression Model for Learning Brain

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Learning 'graph-mer' Motifs that Predict Gene Expression Trajectories in Development

• Authors : Panea, Casandra; Wiggins, Chris H.; Reinke, Valerie

• Source: Li, Xuejing, Casandra Panea, Chris H. Wiggins, Valerie Reinke, and Christina Leslie. 2010. Learning "graph-mer" motifs that predict gene expression trajectories in

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A Bayesian network analysis of posttraumatic stress disorder symptoms in adults reporting childhood sexual abuse

• Authors : McNally, Richard J.; Heeren, Alexandre; Robinaugh, Donald John

Subjects: Network analysis; directed acyclic graph; PTSD

• Source: Quick submit: 2017-06-13T15:18:48-0400McNally, Richard J., Alexandre Heeren, and Donald J. Robinaugh. 2017. “A Bayesian Network Analysis of Posttraumatic Stress Disorder Symptoms in Adults

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Organizational topology of brain and its relationship to ADHD in adolescents with d‐transposition of the great arteries

• Authors : Schmithorst, Vincent J.; Panigrahy, Ashok; Gaynor, J. William

Subjects: Congenital heart disease; d‐; fractional anisotropy

• Source: Schmithorst, Vincent J., Ashok Panigrahy, J. William Gaynor, Christopher G. Watson, Vince Lee, David C. Bellinger, Michael J. Rivkin, and Jane W. Newburger. 2016. “Organizational topology of brain

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A framework for modelling gene regulation which accommodates non-equilibrium mechanisms

• Authors : Ahsendorf, Tobias; Wong, Felix; Eils, Roland

Subjects: linear framework; Laplacian dynamics; thermodynamic formalism

• Source: Ahsendorf, Tobias, Felix Wong, Roland Eils, and Jeremy Gunawardena. 2014. “A framework for modelling gene regulation which accommodates non-equilibrium mechanisms.” BMC Biology 12 (1): 102.

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Seed Location Impacts Whole-Brain Structural Network Comparisons between Healthy Elderly and Individuals with Alzheimer’s Disease

• Authors : Zajac, Lauren; Koo, Bang-Bon; Bauer, Corinna M.

Subjects: DTI; Alzheimer’s disease; graph theory

• Source: Zajac, Lauren, Bang-Bon Koo, Corinna M. Bauer, and Ron Killiany. 2017. “Seed Location Impacts Whole-Brain Structural Network Comparisons between Healthy Elderly and Individuals with Alzheimer’s

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On the Origins and Control of Community Types in the Human Microbiome

• Authors : Gibson, Travis E.; Bashan, Amir; Cao, Hong-Tai

Subjects: Biology and Life Sciences; Species Interactions; Microbiology

• Source: Gibson, Travis E., Amir Bashan, Hong-Tai Cao, Scott T. Weiss, and Yang-Yu Liu. 2016. “On the Origins and Control of Community Types in the Human Microbiome.” PLoS Computational Biology 12 (2):

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Culture, Cognition, and Collaborative Networks in Organizations

• Authors : Srivastava, Sameer; Banaji, Mahzarin R.

Subjects: culture; cognition; collaboration

• Source: Srivastava, Sameer B., and Mahzarin R. Banaji. 2011. Culture, Cognition, and Collaborative Networks in Organizations. American Sociological Review 76, no. 2: 207–233.

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25th Annual Computational Neuroscience Meeting: CNS-2016

• Authors : Sharpee, Tatyana O.; Destexhe, Alain; Kawato, Mitsuo

• Source: Sharpee, T. O., A. Destexhe, M. Kawato, V. Sekulić, F. K. Skinner, D. K. Wójcik, C. Chintaluri, et al. 2016. “25th Annual Computational Neuroscience Meeting: CNS-2016.” BMC Neuroscience 17

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