Precision oncology: a review to assess interpretability in several explainable methods

M Gimeno, K Sada del Real… - Briefings in …, 2023 - academic.oup.com
Great efforts have been made to develop precision medicine-based treatments using
machine learning. In this field, where the goal is to provide the optimal treatment for each …

[HTML][HTML] Prediction of drug sensitivity based on multi-omics data using deep learning and similarity network fusion approaches

XY Liu, XY Mei - Frontiers in Bioengineering and Biotechnology, 2023 - frontiersin.org
With the rapid development of multi-omics technologies and accumulation of large-scale bio-
datasets, many studies have conducted a more comprehensive understanding of human …

[HTML][HTML] Aristotle: stratified causal discovery for omics data

M Mansouri, S Khakabimamaghani, L Chindelevitch… - BMC …, 2022 - Springer
Background There has been a simultaneous increase in demand and accessibility across
genomics, transcriptomics, proteomics and metabolomics data, known as omics data. This …

Precision oncology: a review to assess interpretability in several explainable methods

M Gimeno-Combarro, K Sada-del-Real, AÁ Rubio - 2023 - dadun.unav.edu
Great efforts have been made to develop precision medicine-based treatments using
machine learning. In this field, where the goal is to provide the optimal treatment for each …

[PDF][PDF] Interpretable precision medicine for acute myeloid leukemia

MG Combarro - 2022 - core.ac.uk
Precision medicine (PM) is a branch of medicine that defines a disease at a higher
resolution using genetic and other technologies to enable more specific targeting of its …

Interpretable precision medicine for acute myeloid leukemia

M Gimeno-Combarro - 2023 - dadun.unav.edu
Precision medicine (PM) is a branch of medicine that defines a disease at a higher
resolution using genetic and other technologies to enable more specific targeting of its …

Causal Discovery from high-dimensional observational data

M Mansouri - 2022 - summit.sfu.ca
With the rise of digital observational data, there has been an increasing amount of attention
to the discovery of causal relations from large datasets. In the last three decades two major …