Article

a pathomic model to predict ifn-γ expression and patients’ survival in breast cancer: a machine learning-based study

2023-07-21

Abstract excerpt

<title>Abstract</title> <p>Purpose Breast cancer (BC) is the most popular malignancy. IFN-γ plays an important role in cancer immunity. This study is to predict IFN-γ expression in BC by digital pathology. <bold>Procedures</bold>: RNA-Seq data, pathological images, and clinical data from TCGA-BRCA were retrieved. Images were segmented by the OTSU algorithm and pathomic features were extracted via PyRadiomics. Th...

Topics

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

Identifiers and source

Literature Corpus work: 7e65613a-7087-5dcb-9b1a-5eb64730fe55
DOI: 10.21203/rs.3.rs-3019283/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

a pathomic model to predict ifn-γ expression and patients’ survival in breast cancer: a machine learning-based studyDOI 10.21203/rs.3.rs-3019283/v1Read

Identification and Validation of Immune-Related Gene Prognostic Signature for breast cancerSemantic proximity Read

Identification of an Independent Immune-Genes Prognostic Index for Breast CancerSemantic proximity Read

A fine-tuned machine learning model to predict survivals of breast cancer patients based on gamma-delta T cell markersSemantic proximity Read

Construction of a prognostic 6-gene signature for breast cancer based on multi-omics and single-cell dataSemantic proximity Read

Comprehensive multi-omics analysis identifies an immune related predicting model in early stage breast cancerSemantic proximity Read

Machine learning models based on immunological genes to predict the response to neoadjuvant therapy in breast cancer patientsSemantic proximity Read

Comprehensive Analysis of Innate Immunophenotyping Based on Immune Score Predicting Immune Alterations and Prognosis in Breast Cancer Patients.Semantic proximity Read

Systematic Identification of the Cancer Pathways and Molecules Related With Breast Cancer ImmunogenicitySemantic proximity Read

Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision medicineSemantic proximity Read

Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence AlgorithmsSemantic proximity Read

Identification and development of an independent immune-related genes prognostic model for breast cancerSemantic proximity Read