Article

Stable breast cancer prognosis

2021-09-15

Abstract excerpt

Predicting breast cancer prognosis helps improve the treatment and management of the disease. In the last decades, many prediction models have been developed for breast cancer prognosis based on transcriptomic data. A common assumption made by these models is that the test and training data follow the same distribution. However, in practice, due to the heterogeneity of breast cancer and the different environments...

Topics

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

Identifiers and source

Literature Corpus work: 0da03e80-ba85-530b-b652-aaa5e17f7606
DOI: 10.1101/2021.09.13.460002

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Stable breast cancer prognosisDOI 10.1101/2021.09.13.460002Read

Machine learning enables accurate prediction of breast cancer five-year survival using somatic genomic variantsSemantic proximity Read

Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classifiedSemantic proximity Read

Improving the prognostic prediction accuracy on breast cancer patients through comprehensive machine survival modelsSemantic proximity Read

Deep Learning approach for breast cancer discovery Via gene correlationSemantic proximity Read

Breast Cancer Biomarker Discovery Using Explainable Machine Learning on Expression-Level SignaturesSemantic proximity Read

Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal predictionSemantic proximity Read

Tabular Foundation Model for Breast Cancer Prognosis using Gene Expression DataSemantic proximity Read

Incorporating prior biological knowledge for network-based differential gene expression analysis using differentially weighted graphical LASSOSemantic proximity Read

An uncertainty-based interpretable deep learning framework for breast cancer outcomes predictionSemantic proximity Read

Accurate Prediction of Breast Cancer Survival through Coherent Voting Networks with Gene Expression ProfilingSemantic proximity Read

A Novel Statistical Approach to Investigate Wisconsin Breast Cancer Data by Generalized Linear Mixed Model Approach in Cancer Epidemiology in MedicineSemantic proximity Read

Development and validation of a machine learning model to predict delays in seeking medical care among patients with breast cancer in ChinaSemantic proximity Read