Decipher computational analytics in digital health and precision medicine

Preface

Authors: Henry Han and Wenbin Liu

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

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

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

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

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

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

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

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