Multiple Kernel | List of Frontiers open access articles

Original Research

Published on 25 Jul 2022

Multivariate Pattern Analysis of Lifelong Premature Ejaculation Based on Multiple Kernel Support Vector Machine

in Computational Psychiatry

Bowen Geng
Ming Gao
Ruiqing Piao
Chengxiang Liu
Ke Xu
Shuming Zhang
Xiao Zeng
Peng Liu
Yanzhu Wang

Frontiers in Psychiatry

doi 10.3389/fpsyt.2022.906404

2,850 views
4 citations

Original Research

Published on 02 Feb 2024

Study of PARP inhibitors for breast cancer based on enhanced multiple kernel function SVR with PSO

in Experimental Pharmacology and Drug Discovery

Haohan Xue
Ruixuan Zhang
Xudong Yan
Ruihan Wang
Peijian Zhang

Frontiers in Pharmacology

doi 10.3389/fphar.2024.1257253

2,960 views
5 citations

Original Research

Published on 03 Apr 2017

Multiple Kernel Based Region Importance Learning for Neural Classification of Gait States from EEG Signals

in Neural Technology

Yuhang Zhang
Saurabh Prasad
Atilla Kilicarslan
Jose L. Contreras-Vidal

Frontiers in Neuroscience

doi 10.3389/fnins.2017.00170

7,194 views
59 citations

Original Research

Published on 05 Sep 2022

Inferring human miRNA–disease associations via multiple kernel fusion on GCNII

in Computational Genomics

Shanghui Lu
Yong Liang
Le Li
Shuilin Liao
Dong Ouyang

Frontiers in Genetics

doi 10.3389/fgene.2022.980497

2,602 views
1 citation

Methods

Published on 05 Feb 2019

Discovering Cancer Subtypes via an Accurate Fusion Strategy on Multiple Profile Data

in Computational Genomics

Limin Jiang
Yongkang Xiao
Yijie Ding
Jijun Tang
Fei Guo

Frontiers in Genetics

doi 10.3389/fgene.2019.00020

7,371 views
50 citations

Original Research

Published on 14 Sep 2021

Multimodal MR Images-Based Diagnosis of Early Adolescent Attention-Deficit/Hyperactivity Disorder Using Multiple Kernel Learning

in Brain Imaging Methods

Xiaocheng Zhou
Qingmin Lin
Yuanyuan Gui
Zixin Wang
Manhua Liu
Hui Lu

Frontiers in Neuroscience

doi 10.3389/fnins.2021.710133

10,849 views
47 citations

Original Research

Published on 30 May 2025

Development and validation of a machine learning model based on multiple kernel for predicting the recurrence risk of Budd-Chiari syndrome

in Computational Physiology and Medicine

Weirong Xue
Bing Xu
Hui Wang
Xiaoxiao Zhu
Jiajia Qin
Guangshuang Zhou
Peilin Yu
Shengli Li
Yingliang Jin

Frontiers in Physiology

doi 10.3389/fphys.2025.1589469

1,905 views
1 citation

Original Research

Published on 03 Feb 2017

Regularization by the Linear Functional Strategy with Multiple Kernels

in Mathematics of Computation and Data Science

Sergei V. Pereverzyev
Pavlo Tkachenko

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2017.00001

4,575 views
9 citations

Original Research

Published on 14 Feb 2023

3PNMF-MKL: A non-negative matrix factorization-based multiple kernel learning method for multi-modal data integration and its application to gene signature detection

in Computational Genomics

Saurav Mallik
Anasua Sarkar
Sagnik Nath
Ujjwal Maulik
Supantha Das
Soumen Kumar Pati
Soumadip Ghosh
Zhongming Zhao

Frontiers in Genetics

doi 10.3389/fgene.2023.1095330

3,234 views
1 citation

Original Research

Published on 30 Mar 2017

Multivariate Analysis of 18F-DMFP PET Data to Assist the Diagnosis of Parkinsonism

Fermín Segovia
Juan M. Górriz
Javier Ramírez
Francisco J. Martínez-Murcia
Johannes Levin
Madeleine Schuberth
Matthias Brendel
Axel Rominger
Kai Bötzel
Gaëtan Garraux

Frontiers in Neuroinformatics

doi 10.3389/fninf.2017.00023

6,044 views
33 citations

Original Research

Published on 15 Dec 2022

Application of data integration for rice bacterial strain selection by combining their osmotic stress response and plant growth-promoting traits

in Microbe and Virus Interactions with Plants

Arun Kumar Devarajan
Marika Truu
Sabarinathan Kuttalingam Gopalasubramaniam
Gomathy Muthukrishanan
Jaak Truu

Frontiers in Microbiology

doi 10.3389/fmicb.2022.1058772

5,114 views
10 citations

Methods

Published on 05 Mar 2021

An Accurate Tool for Uncovering Cancer Subtypes by Fast Kernel Learning Method to Integrate Multiple Profile Data

in Molecular and Cellular Pathology

Hongyu Zhang
Limin Jiang
Jijun Tang
Yijie Ding

Frontiers in Cell and Developmental Biology

doi 10.3389/fcell.2021.615747

2,599 views
1 citation

Technology and Code

Published on 28 Jan 2021

kernInt: A Kernel Framework for Integrating Supervised and Unsupervised Analyses in Spatio-Temporal Metagenomic Datasets

in Evolutionary and Genomic Microbiology

Elies Ramon
Lluís Belanche-Muñoz
Francesc Molist
Raquel Quintanilla
Miguel Perez-Enciso
Yuliaxis Ramayo-Caldas

Frontiers in Microbiology

doi 10.3389/fmicb.2021.609048

4,989 views
11 citations

Original Research

Published on 08 Jul 2022

Machine Learning Techniques for the Diagnosis of Schizophrenia Based on Event-Related Potentials

Elsa Santos Febles
Marlis Ontivero Ortega
Michell Valdés Sosa
Hichem Sahli

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.893788

7,528 views
24 citations

Original Research

Published on 06 Sep 2022

Multi-omics data integration for hepatocellular carcinoma subtyping with multi-kernel learning

in Computational Genomics

Jiaying Wang
Yuting Miao
Lingmei Li
Yongqing Wu
Yan Ren
Yuehua Cui
Hongyan Cao

Frontiers in Genetics

doi 10.3389/fgene.2022.962870

4,389 views
4 citations

Original Research

Published on 23 Feb 2022

Structural Features Predict Sexual Trauma and Interpersonal Problems in Borderline Personality Disorder but Not in Controls: A Multi-Voxel Pattern Analysis

in Brain Imaging and Stimulation

Harold Dadomo
Gerardo Salvato
Gaia Lapomarda
Zafer Ciftci
Irene Messina
Alessandro Grecucci

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2022.773593

8,632 views
26 citations

Articles

Multivariate Pattern Analysis of Lifelong Premature Ejaculation Based on Multiple Kernel Support Vector Machine

Study of PARP inhibitors for breast cancer based on enhanced multiple kernel function SVR with PSO

Multiple Kernel Based Region Importance Learning for Neural Classification of Gait States from EEG Signals

Inferring human miRNA–disease associations via multiple kernel fusion on GCNII

Discovering Cancer Subtypes via an Accurate Fusion Strategy on Multiple Profile Data

Multimodal MR Images-Based Diagnosis of Early Adolescent Attention-Deficit/Hyperactivity Disorder Using Multiple Kernel Learning

Development and validation of a machine learning model based on multiple kernel for predicting the recurrence risk of Budd-Chiari syndrome

Regularization by the Linear Functional Strategy with Multiple Kernels

3PNMF-MKL: A non-negative matrix factorization-based multiple kernel learning method for multi-modal data integration and its application to gene signature detection

Multivariate Analysis of 18F-DMFP PET Data to Assist the Diagnosis of Parkinsonism

Application of data integration for rice bacterial strain selection by combining their osmotic stress response and plant growth-promoting traits

An Accurate Tool for Uncovering Cancer Subtypes by Fast Kernel Learning Method to Integrate Multiple Profile Data

kernInt: A Kernel Framework for Integrating Supervised and Unsupervised Analyses in Spatio-Temporal Metagenomic Datasets

Machine Learning Techniques for the Diagnosis of Schizophrenia Based on Event-Related Potentials

Multi-omics data integration for hepatocellular carcinoma subtyping with multi-kernel learning

Structural Features Predict Sexual Trauma and Interpersonal Problems in Borderline Personality Disorder but Not in Controls: A Multi-Voxel Pattern Analysis