Improving network inference : The impact of false positive and false negative conclusions about the presence or absence of links

Cecchini, GloriaThiel, MarcoSchelter, BjoernSommerlade, Linda2019-06-252019-06-252018-09-01Cecchini, G, Thiel, M, Schelter, B & Sommerlade, L 2018, 'Improving network inference : The impact of false positive and false negative conclusions about the presence or absence of links', Journal of Neuroscience Methods, vol. 307, pp. 31-36. https://doi.org/10.1016/j.jneumeth.2018.06.0110165-0270ArXiv: http://arxiv.org/abs/1806.09895v1http://hdl.handle.net/2164/12453This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 642563.62391489engnetwork inferencenode degree distributionfalse positivefalse negativestatistical inferenceQC PhysicsEuropean Commission642563QCImproving network inference : The impact of false positive and false negative conclusions about the presence or absence of linksJournal article10.1016/j.jneumeth.2018.06.011307