Machine Learning Process | List of Frontiers open access articles

Original Research

Published on 24 Mar 2021

Identification of miRNA-Mediated Subpathways as Prostate Cancer Biomarkers Based on Topological Inference in a Machine Learning Process Using Integrated Gene and miRNA Expression Data

in RNA

Ziyu Ning
Shuang Yu
Yanqiao Zhao
Xiaoming Sun
Haibin Wu
Xiaoyang Yu

Frontiers in Genetics

doi 10.3389/fgene.2021.656526

3,732 views
3 citations

Original Research

Published on 27 Jun 2023

The combination of multi-approach studies to explore the potential therapeutic mechanisms of imidazole derivatives as an MCF-7 inhibitor in therapeutic strategies

in Medicinal and Pharmaceutical Chemistry

Maryam Rashid
Ayesha Maqbool
Nusrat Shafiq
Yousef A. Bin Jardan
Shagufta Parveen
Mohammed Bourhia
Hiba-Allah Nafidi
Rashid Ahmed Khan

Frontiers in Chemistry

doi 10.3389/fchem.2023.1197665

8,085 views
13 citations

Original Research

Published on 28 Jul 2023

Robust design of a machine learning-based GNSS NLOS detector with multi-frequency features

in Smart Sensor Networks and Autonomy

Omar García Crespillo
Juan Carlos Ruiz-Sicilia
Ana Kliman
Juliette Marais

Frontiers in Robotics and AI

doi 10.3389/frobt.2023.1171255

6,319 views
9 citations

Original Research

Published on 13 Jul 2023

Data aggregation, ML ready datasets, and an API: leveraging diverse data to create enhanced characterizations of monsoon flood risk

in Climate Services

Dharma Hoy
Rey L. Granillo
Leland Boeman
Ben McMahan
Michael A. Crimmins

Frontiers in Climate

doi 10.3389/fclim.2023.1107363

2,407 views

Original Research

Published on 18 Dec 2020

The Bayesian Additive Regression Trees Formula for Safe Machine Learning-Based Intraocular Lens Predictions

in Medicine and Public Health

Gerald P. Clarke
Adam Kapelner

Frontiers in Big Data

doi 10.3389/fdata.2020.572134

5,723 views
17 citations

Original Research

Published on 10 Nov 2022

Prediction of radiation-induced acute skin toxicity in breast cancer patients using data encapsulation screening and dose-gradient-based multi-region radiomics technique: A multicenter study

in Breast Cancer

Huichun Feng
Hui Wang
Lixia Xu
Yao Ren
Qianxi Ni
Zhen Yang
Shenglin Ma
Qinghua Deng
Xueqin Chen
Bing Xia

Frontiers in Oncology

doi 10.3389/fonc.2022.1017435

5,453 views
25 citations

Articles

Identification of miRNA-Mediated Subpathways as Prostate Cancer Biomarkers Based on Topological Inference in a Machine Learning Process Using Integrated Gene and miRNA Expression Data

The combination of multi-approach studies to explore the potential therapeutic mechanisms of imidazole derivatives as an MCF-7 inhibitor in therapeutic strategies

Robust design of a machine learning-based GNSS NLOS detector with multi-frequency features

Data aggregation, ML ready datasets, and an API: leveraging diverse data to create enhanced characterizations of monsoon flood risk

The Bayesian Additive Regression Trees Formula for Safe Machine Learning-Based Intraocular Lens Predictions

Prediction of radiation-induced acute skin toxicity in breast cancer patients using data encapsulation screening and dose-gradient-based multi-region radiomics technique: A multicenter study