Original Research

Published on 11 Apr 2023

Gene filtering strategies for machine learning guided biomarker discovery using neonatal sepsis RNA-seq data

in Computational Genomics

Edward Parkinson
Federico Liberatore
W. John Watkins
Robert Andrews
Sarah Edkins
Julie Hibbert
Tobias Strunk
Andrew Currie
Peter Ghazal

Frontiers in Genetics

doi 10.3389/fgene.2023.1158352

5,604 views
2 citations

Original Research

Published on 06 Apr 2023

ProgClust: A progressive clustering method to identify cell populations

in Computational Genomics

Han Li
Ying Wang
Yongxuan Lai
Feng Zeng
Fan Yang

Frontiers in Genetics

doi 10.3389/fgene.2023.1183099

1,711 views
3 citations

Original Research

Published on 06 Apr 2023

RETRACTED: Bioinformatics analysis based on crucial genes of endothelial cells in rheumatoid

in Computational Genomics

Xing Zhou
Lidong Wu

Frontiers in Genetics

doi 10.3389/fgene.2023.1143644

2,071 views
2 citations

Original Research

Published on 06 Apr 2023

OncoRTT: Predicting novel oncology-related therapeutic targets using BERT embeddings and omics features

in Computational Genomics

Maha A. Thafar
Somayah Albaradei
Mahmut Uludag
Mona Alshahrani
Takashi Gojobori
Magbubah Essack
Xin Gao

Frontiers in Genetics

doi 10.3389/fgene.2023.1139626

2,236 views
4 citations

Original Research

Published on 06 Apr 2023

Identification of featured necroptosis-related genes and imbalanced immune infiltration in sepsis via machine learning

in Computational Genomics

Han She
Lei Tan
Ruibo Yang
Jie Zheng
Yi Wang
Yuanlin Du
Xiaoyong Peng
Qinghui Li
Haibin Lu
Xinming Xiang

Frontiers in Genetics

doi 10.3389/fgene.2023.1158029

2,892 views
7 citations

Methods

Published on 04 Apr 2023

MulCNN: An efficient and accurate deep learning method based on gene embedding for cell type identification in single-cell RNA-seq data

in Computational Genomics

Linfang Jiao
Yongqi Ren
Lulu Wang
Changnan Gao
Shuang Wang
Tao Song

Frontiers in Genetics

doi 10.3389/fgene.2023.1179859

3,508 views
4 citations

Editorial

Published on 03 Apr 2023

Editorial: Identifying genetics-based mechanisms and treatments for neurodevelopmental and psychiatric disorders through data integration

in Computational Genomics

Kaifang Pang
Li Wang
Suhua Chang

Frontiers in Genetics

doi 10.3389/fgene.2023.1186489

1,483 views

Original Research

Published on 03 Apr 2023

Prediction of CTCF loop anchor based on machine learning

in Computational Genomics

Xiao Zhang
Wen Zhu
Huimin Sun
Yijie Ding
Li Liu

Frontiers in Genetics

doi 10.3389/fgene.2023.1181956

2,041 views

Original Research

Published on 31 Mar 2023

A novel cuproptosis-related lncRNAs signature predicts prognostic and immune of bladder urothelial carcinoma

in Computational Genomics

Zheng Zhou
Yusong Zhou
Wei Liu
Jing Dai

Frontiers in Genetics

doi 10.3389/fgene.2023.1148430

2,862 views
2 citations

Original Research

Published on 29 Mar 2023

Genomics combined with UAS data enhances prediction of grain yield in winter wheat

in Computational Genomics

Osval A. Montesinos-López
Andrew W. Herr
José Crossa
Arron H. Carter

Frontiers in Genetics

doi 10.3389/fgene.2023.1124218

1,524 views
4 citations

Original Research

Published on 29 Mar 2023

Use of pain-related gene features to predict depression by support vector machine model in patients with fibromyalgia

in Computational Genomics

Fengfeng Wang
Chi Wai Cheung
Stanley Sau Ching Wong

Frontiers in Genetics

doi 10.3389/fgene.2023.1026672

1,284 views
2 citations

Original Research

Published on 29 Mar 2023

ACP-GBDT: An improved anticancer peptide identification method with gradient boosting decision tree

in Computational Genomics

Yanjuan Li
Di Ma
Dong Chen
Yu Chen

Frontiers in Genetics

doi 10.3389/fgene.2023.1165765

5,199 views
7 citations

Technology and Code

Published on 27 Mar 2023

A framework for real-time monitoring, analysis and adaptive sampling of viral amplicon nanopore sequencing

in Computational Genomics

Rory Munro
Nadine Holmes
Christopher Moore
Matthew Carlile
Alexander Payne
John R. Tyson
Thomas Williams
Christopher Alder
Luke B. Snell
Gaia Nebbia

Frontiers in Genetics

doi 10.3389/fgene.2023.1138582

4,696 views
7 citations

Original Research

Published on 27 Mar 2023

PredDSMC: A predictor for driver synonymous mutations in human cancers

in Computational Genomics

Lihua Wang
Jianhui Sun
Shunshuai Ma
Junfeng Xia
Xiaoyan Li

Frontiers in Genetics

doi 10.3389/fgene.2023.1164593

1,608 views
1 citation

Editorial

Published on 27 Mar 2023

Editorial: The use of data mining in radiological-pathological images for personal medicine

in Computational Genomics

Jincheng Wang
Xudong Zhang
Jinhui Liu
Yin Yin

Frontiers in Genetics

doi 10.3389/fgene.2023.1187040

955 views

Original Research

Published on 27 Mar 2023

Discovering genetic linkage between periodontitis and type 1 diabetes: A bioinformatics study

in Computational Genomics

Junqi Liu
Bo Zhang
Guanyin Zhu
Chenlu Liu
Shuangcheng Wang
Zhihe Zhao

Frontiers in Genetics

doi 10.3389/fgene.2023.1147819

2,908 views
3 citations

Navigation group

Articles

Gene filtering strategies for machine learning guided biomarker discovery using neonatal sepsis RNA-seq data

ProgClust: A progressive clustering method to identify cell populations

RETRACTED: Bioinformatics analysis based on crucial genes of endothelial cells in rheumatoid

OncoRTT: Predicting novel oncology-related therapeutic targets using BERT embeddings and omics features

Identification of featured necroptosis-related genes and imbalanced immune infiltration in sepsis via machine learning

MulCNN: An efficient and accurate deep learning method based on gene embedding for cell type identification in single-cell RNA-seq data

Editorial: Identifying genetics-based mechanisms and treatments for neurodevelopmental and psychiatric disorders through data integration

Prediction of CTCF loop anchor based on machine learning

A novel cuproptosis-related lncRNAs signature predicts prognostic and immune of bladder urothelial carcinoma

Genomics combined with UAS data enhances prediction of grain yield in winter wheat

Use of pain-related gene features to predict depression by support vector machine model in patients with fibromyalgia

ACP-GBDT: An improved anticancer peptide identification method with gradient boosting decision tree

A framework for real-time monitoring, analysis and adaptive sampling of viral amplicon nanopore sequencing

PredDSMC: A predictor for driver synonymous mutations in human cancers

Editorial: The use of data mining in radiological-pathological images for personal medicine

Discovering genetic linkage between periodontitis and type 1 diabetes: A bioinformatics study