5 citations · 5 across the 3 of their papers we have counts for
4 papers
KGML-xDTD: A Knowledge Graph-based Machine Learning Framework for Drug Treatment Prediction and Mechanism Description
Chunyu Ma, Zhihan Zhou, Han Liu +1
Background: Computational drug repurposing is a cost- and time-efficient approach that aims to identify new therapeutic targets or diseases (indications) of existing drugs/compound…
Finer Metagenomic Reconstruction via Biodiversity Optimization
Simon Foucart, David Koslicki
When analyzing communities of microorganisms from their sequenced DNA, an important task is taxonomic profiling: enumerating the presence and relative abundance of all organisms, o…
Exact probabilities for the indeterminacy of complex networks as perceived through press perturbations
David Koslicki, Mark Novak
We consider the goal of predicting how complex networks respond to chronic (press) perturbations when characterizations of their network topology and interaction strengths are asso…
Topological Entropy of DNA Sequences
David Koslicki
Topological entropy has been one of the most difficult to implement of all the entropy-theoretic notions. This is primarily due to finite sample effects and high-dimensionality pro…