Network-based de-noising improves prediction from microarray data

被引：0
作者：
Tsuyoshi Kato
Yukio Murata
Koh Miura
Kiyoshi Asai
Paul B Horton
Koji Tsuda
Wataru Fujibuchi
机构：
[1] University of Tokyo,Graduate School of Frontier Sciences
[2] AIST Computational Biology Research Center,Division of Biological Regulation and Oncology, Department of Surgery
[3] Tohoku University Graduate School of Medicine,undefined
来源：
BMC Bioinformatics | / 7卷
关键词：
Gene Ontology; Noise Reduction; Side Information; Principal Component Regression; Multiple Network;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 39 条
[21]   A Neural Network-Based Multi-Label Classifier for Protein Function Prediction [J].
Tahzeeb, Shahab ;
Hasan, Shehzad .
ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2022, 12 (01) :7974-7981
[22]   Optimized Wavelet-Based Satellite Image De-Noising With Multi-Population Differential Evolution-Assisted Harris Hawks Optimization Algorithm [J].
Golilarz, Noorbakhsh Amiri ;
Mirmozaffari, Mirpouya ;
Gashteroodkhani, Tayyebeh Asgari ;
Ali, Liaqat ;
Dolatsara, Hamidreza Ahady ;
Boskabadi, Azam ;
Yazdi, Mohammad .
IEEE ACCESS, 2020, 8 :133076-133085
[23]   Identification of the interaction network of hub genes for melanoma treated with vemurafenib based on microarray data [J].
Quan, Liangliang ;
Wang, Yang ;
Liang, Jiulong ;
Shi, Jie ;
Zhang, Yu ;
Tao, Kai .
TUMORI JOURNAL, 2015, 101 (04) :368-374
[24]   Deep belief network-Based Matrix Factorization Model for MicroRNA-Disease Associations Prediction [J].
Ding, Yulian ;
Wang, Fei ;
Lei, Xiujuan ;
Liao, Bo ;
Wu, Fang-Xiang .
EVOLUTIONARY BIOINFORMATICS, 2020, 16
[25]   A Comparision Between Methods for Generating Differentially Expressed Genes from Microarray Data for Prediction of Disease [J].
Dasgupta, Srirupa ;
Saha, Goutam ;
Mondal, Ritwik ;
Pal, Rajat Kumar ;
Chanda, Amitabha .
2015 THIRD INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION, CONTROL AND INFORMATION TECHNOLOGY (C3IT), 2015,
[26]   Two-Way Gene Interaction From Microarray Data Based on Correlation Methods [J].
Majd, Hamid Alavi ;
Talebi, Atefeh ;
Gilany, Kambiz ;
Khayyer, Nasibeh .
IRANIAN RED CRESCENT MEDICAL JOURNAL, 2016, 18 (06)
[27]   Prediction of Drug-Target Interactions With High- Quality Negative Samples and a Network-Based Deep Learning Framework [J].
Cheng, Zhixing ;
Xu, Deling ;
Ding, Dewu ;
Ding, Yanrui .
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2025, 29 (03) :1567-1578
[28]   Prediction of Key Gene Functions Associated with Chronic Hepatitis B Utilizing Network-Based Gene Function Inference Method [J].
He, Wei-Li ;
Gou, Wei ;
Wang, Yan-Ling ;
Qiao, Bing ;
Zhang, Hai-Feng .
INTERNATIONAL JOURNAL OF HUMAN GENETICS, 2018, 18 (02) :109-115
[29]   Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data [J].
Victoria Bourgeais ;
Farida Zehraoui ;
Mohamed Ben Hamdoune ;
Blaise Hanczar .
BMC Bioinformatics, 22
[30]   Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data [J].
Bourgeais, Victoria ;
Zehraoui, Farida ;
Ben Hamdoune, Mohamed ;
Hanczar, Blaise .
BMC BIOINFORMATICS, 2021, 22 (SUPPL 10)
1234