3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.LG2021★ 3 cited
Novel split quality measures for stratified multilabel Cross Validation with application to large and sparse gene ontology datasets
Henri Tiittanen, Liisa Holm, Petri Törönen
Multilabel learning is an important topic in machine learning research. Evaluating models in multilabel settings requires specific cross validation methods designed for multilabel…
cs.CE2018
Π-cyc: A Reference-free SNP Discovery Application using Parallel Graph Search
Reda Younsi, Jing Tang, Liisa Holm
Motivation: Working with a large number of genomes simultaneously is of great interest in genetic population and comparative genomics research. Bubbles discovery in multi-genomes c…
q-bio.QM2016
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…