Machin Learning | List of Frontiers open access articles

Original Research

Published on 24 May 2023

Circulating sepsis-related metabolite sphinganine could protect against intestinal damage during sepsis

in Inflammation

Zetian Wang
Yue Qi
Fei Wang
Baiyin Zhang
Tang Jianguo

Frontiers in Immunology

doi 10.3389/fimmu.2023.1151728

5,485 views
20 citations

Methods

Published on 15 Feb 2021

A Chlorophyll-a Algorithm for Landsat-8 Based on Mixture Density Networks

in Multi- and Hyper-Spectral Imaging

Brandon Smith
Nima Pahlevan
John Schalles
Steve Ruberg
Reagan Errera
Ronghua Ma
Claudia Giardino
Mariano Bresciani
Claudio Barbosa
Tim Moore

Frontiers in Remote Sensing

doi 10.3389/frsen.2020.623678

17,341 views
117 citations

Editorial

Published on 05 Jul 2023

Editorial: Computational methods for multi-omics data analysis in cancer precision medicine

in Cancer Genetics and Oncogenomics

Moein Piroozkhah
Radman Mazloomnejad
Zahra Salehi
Ehsan Nazemalhosseini-Mojarad

Frontiers in Genetics

doi 10.3389/fgene.2023.1226975

3,949 views
4 citations

Brief Research Report

Published on 18 Oct 2022

Improving predictive performance in incident heart failure using machine learning and multi-center data

in Heart Failure and Transplantation

František Sabovčik
Evangelos Ntalianis
Nicholas Cauwenberghs
Tatiana Kuznetsova

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2022.1011071

3,235 views
7 citations

Original Research

Published on 29 May 2019

Systems Chemical Genetics-Based Drug Discovery: Prioritizing Agents Targeting Multiple/Reliable Disease-Associated Genes as Drug Candidates

in Statistical Genetics and Methodology

Yuan Quan
Zhi-Hui Luo
Qing-Yong Yang
Jiang Li
Qiang Zhu
Ye-Mao Liu
Bo-Min Lv
Ze-Jia Cui
Xuan Qin
Yan-Hua Xu

Frontiers in Genetics

doi 10.3389/fgene.2019.00474

7,505 views
15 citations

Original Research

Published on 11 Jul 2019

A Novel Model for Arbitration Between Planning and Habitual Control Systems

Farzaneh Sheikhnezhad Fard
Thomas P. Trappenberg

Frontiers in Neurorobotics

doi 10.3389/fnbot.2019.00052

3,868 views
6 citations

Technology Report

Published on 25 Oct 2019

Digitaldlsorter: Deep-Learning on scRNA-Seq to Deconvolute Gene Expression Data

in Statistical Genetics and Methodology

Carlos Torroja
Fatima Sanchez-Cabo

Frontiers in Genetics

doi 10.3389/fgene.2019.00978

24,431 views
50 citations

Original Research

Published on 17 May 2023

Stable operation process of earthquake early warning system based on machine learning: trial test and management perspective

in Geohazards and Georisks

Jae-Kwang Ahn
Euna Park
Byeonghak Kim
Eui-Hong Hwang
Seongwon Hong

Frontiers in Earth Science

doi 10.3389/feart.2023.1157742

5,898 views
10 citations

Original Research

Published on 15 Dec 2023

DPred_3S: identifying dihydrouridine (D) modification on three species epitranscriptome based on multiple sequence-derived features

in RNA

Jinjin Ren
Xiaozhen Chen
Zhengqian Zhang
Haoran Shi
Shuxiang Wu

Frontiers in Genetics

doi 10.3389/fgene.2023.1334132

2,374 views
1 citation

Original Research

Published on 02 Feb 2023

Diagnostic and predictive values of pyroptosis-related genes in sepsis

in Inflammation

Xuesong Wang
Zhe Guo
Ziyi Wang
Haiyan Liao
Ziwen Wang
Feng Chen
Zhong Wang

Frontiers in Immunology

doi 10.3389/fimmu.2023.1105399

9,588 views
15 citations

Mini Review

Published on 27 Nov 2023

The leading global health challenges in the artificial intelligence era

in Digital Public Health

Amal Mousa Zaidan

Frontiers in Public Health

doi 10.3389/fpubh.2023.1328918

27,371 views
19 citations

Original Research

Published on 02 Dec 2022

Learning from 2D: Machine learning of 3D effective properties of heterogeneous materials based on 2D microstructure sections

in Physical Properties of Metals

Guangyu Hu
Marat I. Latypov

Frontiers in Metals and Alloys

doi 10.3389/ftmal.2022.1100571

3,176 views
4 citations

Methods

Published on 30 Aug 2022

Implementation of an MPPT technique of a solar module with supervised machine learning

in Solar Energy

Ruhi Sharmin
Sayeed Shafayet Chowdhury
Farihal Abedin
Kazi Mujibur Rahman

Frontiers in Energy Research

doi 10.3389/fenrg.2022.932653

9,687 views
27 citations

Original Research

Published on 11 Aug 2020

m6A Reader: Epitranscriptome Target Prediction and Functional Characterization of N6-Methyladenosine (m6A) Readers

in Cellular Biochemistry

Di Zhen
Yuxuan Wu
Yuxin Zhang
Kunqi Chen
Bowen Song
Haiqi Xu
Yujiao Tang
Zhen Wei
Jia Meng

Frontiers in Cell and Developmental Biology

doi 10.3389/fcell.2020.00741

18,692 views
46 citations

Original Research

Published on 25 Nov 2021

Immune Checkpoints OX40 and OX40L in Small-Cell Lung Cancer: Predict Prognosis and Modulate Immune Microenvironment

in Cancer Immunity and Immunotherapy

Peixin Chen
Hao Wang
Lishu Zhao
Haoyue Guo
Liping Zhang
Wei Zhang
Chenglong Sun
Sha Zhao
Wei Li
Jun Zhu

Frontiers in Oncology

doi 10.3389/fonc.2021.713853

8,496 views
15 citations

Original Research

Published on 19 Jul 2022

A data-driven machine learning approach for brain-computer interfaces targeting lower limb neuroprosthetics

in Brain-Computer Interfaces

Arnau Dillen
Elke Lathouwers
Aleksandar Miladinović
Uros Marusic
Fakhreddine Ghaffari
Olivier Romain
Romain Meeusen
Kevin De Pauw

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2022.949224

7,403 views
10 citations

Articles

Circulating sepsis-related metabolite sphinganine could protect against intestinal damage during sepsis

A Chlorophyll-a Algorithm for Landsat-8 Based on Mixture Density Networks

Editorial: Computational methods for multi-omics data analysis in cancer precision medicine

Improving predictive performance in incident heart failure using machine learning and multi-center data

Systems Chemical Genetics-Based Drug Discovery: Prioritizing Agents Targeting Multiple/Reliable Disease-Associated Genes as Drug Candidates

A Novel Model for Arbitration Between Planning and Habitual Control Systems

Digitaldlsorter: Deep-Learning on scRNA-Seq to Deconvolute Gene Expression Data

Stable operation process of earthquake early warning system based on machine learning: trial test and management perspective

DPred_3S: identifying dihydrouridine (D) modification on three species epitranscriptome based on multiple sequence-derived features

Diagnostic and predictive values of pyroptosis-related genes in sepsis

The leading global health challenges in the artificial intelligence era

Learning from 2D: Machine learning of 3D effective properties of heterogeneous materials based on 2D microstructure sections

Implementation of an MPPT technique of a solar module with supervised machine learning

m6A Reader: Epitranscriptome Target Prediction and Functional Characterization of N6-Methyladenosine (m6A) Readers

Immune Checkpoints OX40 and OX40L in Small-Cell Lung Cancer: Predict Prognosis and Modulate Immune Microenvironment

A data-driven machine learning approach for brain-computer interfaces targeting lower limb neuroprosthetics