Anastasis Oulas

Ranking of cell clusters in a single-cell RNA-sequencing analysis framework using prior knowledge

The paper introduces a method to rank cell clusters in scRNA-seq using prior knowledge and user input, enhancing biological relevance.

Machine Learning for Predicting Therapeutic Outcomes in Acute Myeloid Leukemia Patients

This paper uses machine learning to predict drug sensitivity in AML patients using the BeatAML dataset, finding RNA sequencing data provides better predictive power than whole exome sequencing or clinical data.

In depth analysis of Cyprus-specific mutations of SARS-CoV-2 strains using computational approaches

This study identifies a Cyprus-specific SARS-CoV-2 mutation (S6059F) and assesses its potential association with increased viral virulence using computational methods.

Generalized linear models provide a measure of virulence for specific mutations in SARS-CoV-2 strains

This paper uses generalized linear models to identify SARS-CoV-2 mutations associated with changes in viral virulence, highlighting two mutations with opposing effects on deaths and cases per million.

PathWalks: Identifying pathway communities using a disease-related map of integrated information

PathWalks identifies pathway communities using a disease-related map of integrated information, revealing key pathways and potential viral involvement in Alzheimer's and idiopathic pulmonary fibrosis.