Volume 20 Supplement 8

Decipher computational analytics in digital health and precision medicine

Research

Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.

Wenzhou, China22- 24 June 2018

Conference website

Edited by Henry Han and Wenbin Liu

Preface

Authors: Henry Han and Wenbin Liu

Citation: BMC Bioinformatics 2019 20(Suppl 8):286

Content type: Introduction Published on: 10 June 2019
- View Full Text
- View PDF
An advanced approach to identify antimicrobial peptides and their function types for penaeus through machine learning strategies

Antimicrobial peptides (AMPs) are essential components of the innate immune system and can protect the host from various pathogenic bacteria. The marine environment is known to be one of the richest sources fo...

Authors: Yuan Lin, Yinyin Cai, Juan Liu, Chen Lin and Xiangrong Liu

Citation: BMC Bioinformatics 2019 20(Suppl 8):291

Content type: Research Published on: 10 June 2019
- View Full Text
- View PDF
Probe computing model based on small molecular switch

DNA is a promising candidate for the construction of biological devices due to its unique properties, including structural simplicity, convenient synthesis, high flexibility, and predictable behavior. And DNA ...

Authors: Yanan Wang, Qi Lv, Yingying Zhang, Luhui Wang and Yafei Dong

Citation: BMC Bioinformatics 2019 20(Suppl 8):285

Content type: Research Published on: 10 June 2019
- View Full Text
- View PDF
L_2,1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions

Predicting drug-target interactions is time-consuming and expensive. It is important to present the accuracy of the calculation method. There are many algorithms to predict global interactions, some of which u...

Authors: Zhen Cui, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai and Sha-Sha Yuan

Citation: BMC Bioinformatics 2019 20(Suppl 8):287

Content type: Research Published on: 10 June 2019
- View Full Text
- View PDF
Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data

Single cell RNA sequencing (scRNA-seq) is applied to assay the individual transcriptomes of large numbers of cells. The gene expression at single-cell level provides an opportunity for better understanding of ...

Authors: Jiajie Peng, Xiaoyu Wang and Xuequn Shang

Citation: BMC Bioinformatics 2019 20(Suppl 8):284

Content type: Research Published on: 10 June 2019
- View Full Text
- View PDF
Scoring amino acid mutation to predict pandemic risk of avian influenza virus

Avian influenza virus can directly cross species barriers and infect humans with high fatality. As antigen novelty for human host, the public health is being challenged seriously. The pandemic risk of avian in...

Authors: Xiaoli Qiang and Zheng Kou

Citation: BMC Bioinformatics 2019 20(Suppl 8):288

Content type: Research Published on: 10 June 2019
- View Full Text
- View PDF
A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features

It is of great clinical significance to develop an accurate computer aided system to accurately diagnose the breast cancer. In this study, an enhanced machine learning framework is established to diagnose the ...

Authors: Hui Huang, Xi’an Feng, Suying Zhou, Jionghui Jiang, Huiling Chen, Yuping Li and Chengye Li

Citation: BMC Bioinformatics 2019 20(Suppl 8):290

Content type: Research Published on: 10 June 2019
- View Full Text
- View PDF
Integrated entropy-based approach for analyzing exons and introns in DNA sequences

Numerous essential algorithms and methods, including entropy-based quantitative methods, have been developed to analyze complex DNA sequences since the last decade. Exons and introns are the most notable compo...

Authors: Junyi Li, Li Zhang, Huinian Li, Yuan Ping, Qingzhe Xu, Rongjie Wang, Renjie Tan, Zhen Wang, Bo Liu and Yadong Wang

Citation: BMC Bioinformatics 2019 20(Suppl 8):283

Content type: Research Published on: 10 June 2019
- View Full Text
- View PDF
A hybrid gene selection method based on gene scoring strategy and improved particle swarm optimization

Gene selection is one of the critical steps in the course of the classification of microarray data. Since particle swarm optimization has no complicated evolutionary operators and fewer parameters need to be a...

Authors: Fei Han, Di Tang, Yu-Wen-Tian Sun, Zhun Cheng, Jing Jiang and Qiu-Wei Li

Citation: BMC Bioinformatics 2019 20(Suppl 8):289

Content type: Research Published on: 10 June 2019
- View Full Text
- View PDF

Decipher computational analytics in digital health and precision medicine

Research

Preface

An advanced approach to identify antimicrobial peptides and their function types for penaeus through machine learning strategies

Probe computing model based on small molecular switch

L_2,1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions

Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data

Scoring amino acid mutation to predict pandemic risk of avian influenza virus

A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features

Integrated entropy-based approach for analyzing exons and introns in DNA sequences

A hybrid gene selection method based on gene scoring strategy and improved particle swarm optimization

Important information

Annual Journal Metrics

Follow

BMC Bioinformatics

Contact us