Benchmarking study of machine learning methods for prediction of synthetic lethality
KR4SL is a machine learning method that leverages knowledge graph reasoning to predict synthetic lethality (SL) partners for a given primary gene, capturing the structural semantics of a knowledge graph by efficiently constructing and learning from relational digraphs.
PAGER is an efficient genotype encoding strategy designed to improve the detection of non-additive genetic variation in complex trait association studies. PAGER dynamically encodes genetic variants by normalizing mean phenotypic differences between genotype classes.
Inference of Epistatic Gene Networks
Integrating genetic interactions networks and phylogenetic profiles.
PAGER is an efficient genotype encoding strategy designed to improve the detection of non-additive genetic variation in complex trait association studies. PAGER dynamically encodes genetic variants by normalizing mean phenotypic differences between genotype classes.
Genetic Interaction Networks and Pathway Modules
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