Article

Establishment of an artificial neural network model using immune-infiltration related factors for endometrial receptivity assessment

2021-07-28

Abstract excerpt

<title>Abstract</title> <p>Background A comprehensive clinical strategy for infertility involves treatment and, more importantly, post-treatment evaluation. Endometrial receptivity, as a component of assessment, does not have a validated tool. This study was anchored on immune factors, which act as critical factors affecting embryonic implantation, was aimed at establishing novel approaches for assessing endomet...

Topics

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

Identifiers and source

Literature Corpus work: e0e59af0-3922-5fa9-a986-0fe220b1d421
DOI: 10.21203/rs.3.rs-728614/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Establishment of an artificial neural network model using immune-infiltration related factors for endometrial receptivity assessmentDOI 10.21203/rs.3.rs-728614/v1Read

Artificial Neural Network Model Using Immune-infiltration Modules for Endometrial Receptivity Assessment of Implantation FailureSemantic proximity Read

Uterine fluid transcriptome as potential non-invasive biomarker for predicting endometrial receptivitySemantic proximity Read

Identification and validation of immune cells and hub genes alterations in recurrent implantation failure: A GEO data mining studySemantic proximity Read

Identification of potential biomarkers and immune infiltration characteristics in recurrent implantation failure using bioinformatics analysisSemantic proximity Read

Can biomarkers identified from the uterine fluid transcriptome be used to establish a noninvasive endometrial receptivity prediction tool? A proof-of-concept studySemantic proximity Read

Identification of key genes and immune cell infiltration in recurrent implantation failure: A study based on integrated analysis of multiple microarray studiesSemantic proximity Read

Identification of molecular subtypes and immune infiltration in endometriosis: a novel bioinformatics analysis and In vitro validationSemantic proximity Read

Identification of Immune Cell Infiltration and Effective Diagnostic Biomarkers in the Lesion of Endometriosis Based on Multi-Bioinformatic AnalysisSemantic proximity Read

Investigation and Validation of Molecular Characteristics of Endometrium in Recurrent Miscarriage and Unexplained Infertility from a Transcriptomic PerspectiveSemantic proximity Read

Reclassification of endometrial cancer and identification of key genes based on neural-related genesSemantic proximity Read

RNA stability indicates endoplasmic reticulum stress as a novel therapeutic target in endometritisSemantic proximity Read

Diagnosis and Prediction of Endometrial Carcinoma Using Machine Learning and Artificial Neural Networks Based on Public DatabasesSemantic proximity Read