457 citations · 461 across the 5 of their papers we have counts for
6 papers
An Open-Source Knowledge Graph Ecosystem for the Life Sciences
Tiffany J. Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski +29
Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these…
A method for comparing multiple imputation techniques: a case study on the U.S. National COVID Cohort Collaborative
Elena Casiraghi, Rachel Wong, Margaret Hall +34
Healthcare datasets obtained from Electronic Health Records have proven to be extremely useful to assess associations between patients' predictors and outcomes of interest. However…
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding
Mauricio Soto-Gomez, Peter Robinson, Carlos Cano +6
Many real-world problems are naturally modeled as heterogeneous graphs, where nodes and edges represent multiple types of entities and relations. Existing learning models for heter…
Multitask Hopfield Networks
Marco Frasca, Giuliano Grossi, Giorgio Valentini
Multitask algorithms typically use task similarity information as a bias to speed up and improve the performance of learning processes. Tasks are learned jointly, sharing informati…
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Yuxiang Jiang, Tal Ronnen Oron, Wyatt T Clark +144
Background: The increasing volume and variety of genotypic and phenotypic data is a major defining characteristic of modern biomedical sciences. At the same time, the limitations i…
Notes on hierarchical ensemble methods for DAG-structured taxonomies
Giorgio Valentini
Several real problems ranging from text classification to computational biology are characterized by hierarchical multi-label classification tasks. Most of the methods presented in…