Article

The Promise of Explainable Deep Learning for Omics Data Analysis: Adding New Discovery Tools to AI

2023-02-23

Abstract excerpt

Deep learning has already revolutionised the way we process a wide range of data, in many areas of our daily life. The ability to learn abstractions and relationships from heterogeneous data, has provided impressively accurate prediction and classification tools to handle increasingly big datasets. This has a significant impact on the growing wealth of omics datasets, with the unprecedented opportunity for a bette...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 09f8c7d0-838f-5d3a-8f8d-1f8ff46b680d
DOI: 10.20944/preprints202302.0405.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

The Promise of Explainable Deep Learning for Omics Data Analysis: Adding New Discovery Tools to AIDOI 10.20944/preprints202302.0405.v1Read

Interpretable Machine Learning for GenomicsSemantic proximity Read

Explainable Artificial Intelligence in Precision Medicine: Methods, Applications, and ChallengesSemantic proximity Read

Explainable autoencoder-based representation learning for gene expression dataSemantic proximity Read

Explainable AI for the Prediction of Anticancer Drug Resistance Mechanisms in Human CancersSemantic proximity Read

Enhancing patient stratification and interpretability through class-contrastive and feature attribution techniquesSemantic proximity Read

Verifying explainability of a deep learning tissue classifier trained on RNA-seq data.Semantic proximity Read

Automated machine learning and explainable AI (AutoML-XAI) for metabolomics: improving cancer diagnosticsSemantic proximity Read

Sensitivity based model agnostic scalable explanations of deep learningSemantic proximity Read

Explainable machine learning models for glioma subtype classification and survival predictionSemantic proximity Read

Explainable artificial intelligence for multi-modal cancer analysis: From genomics to immunologySemantic proximity Read

AI and Machine Learning in Biology: From Genes to ProteinsSemantic proximity Read

DeepCOMBI: Explainable artificial intelligence for the analysis and discovery in genome-wide association studiesSemantic proximity Read