Publications in collaboration with researchers from George Mason University (14)

2021

  1. Author Correction: A community-based transcriptomics classification and nomenclature of neocortical cell types (Nature Neuroscience, (2020), 23, 12, (1456-1468), 10.1038/s41593-020-0685-8)

    Nature Neuroscience

  2. Publisher Correction: A community-based transcriptomics classification and nomenclature of neocortical cell types (Nature Neuroscience, (2020), 23, 12, (1456-1468), 10.1038/s41593-020-0685-8)

    Nature Neuroscience

2020

  1. A community-based transcriptomics classification and nomenclature of neocortical cell types

    Nature Neuroscience

2019

  1. PaperBot: Open-source web-based search and metadata organization of scientific literature

    BMC Bioinformatics, Vol. 20, Núm. 1

2018

  1. An open repository for single-cell reconstructions of the brain forest

    Scientific Data, Vol. 5

  2. Revealing post-transcriptional microRNA-mRNA regulations in Alzheimer's disease through ensemble graphs 01 Mathematical Sciences 0104 Statistics

    BMC Genomics, Vol. 19

2017

  1. Ensemble graphs to reveal post-transcriptional regulatory networks in Alzheimer's disease

    Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017

  2. Voxel-Based Diagnosis of Alzheimer's Disease Using Classifier Ensembles

    IEEE Journal of Biomedical and Health Informatics, Vol. 21, Núm. 3, pp. 778-784

  3. Win-win data sharing in neuroscience

    Nature Methods, Vol. 14, Núm. 2, pp. 112-116

2016

  1. Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices

    Journal of the Association for Information Science and Technology, Vol. 67, Núm. 7, pp. 1703-1721

2015

  1. Discretization of expression quantitative trait loci in association analysis between genotypes and expression data

    Current Bioinformatics, Vol. 10, Núm. 2, pp. 144-164

  2. Doubling up on the fly: NeuroMorpho.Org Meets Big Data

    Neuroinformatics, Vol. 13, Núm. 1, pp. 127-129

  3. The importance of metadata to assess information content in digital reconstructions of neuronal morphology

    Cell and Tissue Research, Vol. 360, Núm. 1, pp. 121-127

  4. Towards the automatic classification of neurons

    Trends in Neurosciences, Vol. 38, Núm. 5, pp. 307-318