no code implementations • 6 Dec 2022 • Alexander G. Ioannidis, Javier Blanco-Portillo, Erika Hagelberg, Juan Esteban Rodríguez-Rodríguez, Keolu Fox, Adrian V. S. Hill, Carlos D. Bustamante, Marcus W. Feldman, Alexander J. Mentzer, Andrés Moreno-Estrada
By demonstrating the role that historical population replacements and waves of admixture have played around the world, the genetics work of Reich and colleagues has provided a paradigm for understanding human history [Reich et al. 2009; Reich et al. 2012; Patterson et al. 2012].
In collaboration with the Clinical Genomic Resource (ClinGen)---the flagship NIH program for clinical curation---we propose the first machine learning system, LitGen, that can retrieve papers for a particular variant and filter them by specific evidence types used by curators to assess for pathogenicity.
However, clinicians lack the time and resource to annotate patient records with standard medical diagnostic codes and most veterinary visits are captured in free text notes.
Networks are ubiquitous in biology where they encode connectivity patterns at all scales of organization, from molecular to the biome.