Decipher computational analytics in digital health and precision medicine

The coming era of artificial intelligence in biological data science

Authors: Henry Han and Wenbin Liu

The exploration of disease-specific gene regulatory networks in esophageal carcinoma and stomach adenocarcinoma

Feed-forward loops (FFLs), consisting of miRNAs, transcription factors (TFs) and their common target genes, have been validated to be important for the initialization and development of complex diseases, inclu...

Authors: Guimin Qin, Luqiong Yang, Yuying Ma, Jiayan Liu and Qiuyan Huo

VariFAST: a variant filter by automated scoring based on tagged-signatures

Variant calling and refinement from whole genome/exome sequencing data is a fundamental task for genomics studies. Due to the limited accuracy of NGS sequencing and variant callers, IGV-based manual review is ...

Authors: Hang Zhang, Ke Wang, Juan Zhou, Jianhua Chen, Yizhou Xu, Dong Wang, Xiaoqi Li, Renliang Sun, Mancang Zhang, Zhuo Wang and Yongyong Shi

PEIS: a novel approach of tumor purity estimation by identifying information sites through integrating signal based on DNA methylation data

Tumor purity plays an important role in understanding the pathogenic mechanism of tumors. The purity of tumor samples is highly sensitive to tumor heterogeneity. Due to Intratumoral heterogeneity of genetic an...

Authors: Shudong Wang, Lihua Wang, Yuanyuan Zhang, Shanchen Pang and Xinzeng Wang

An efficient gene selection method for microarray data based on LASSO and BPSO

The main goal of successful gene selection for microarray data is to find compact and predictive gene subsets which could improve the accuracy. Though a large pool of available methods exists, selecting the op...

Authors: Ying Xiong, Qing-Hua Ling, Fei Han and Qing-Hua Liu

PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data

In recent years, identification of differentially expressed genes and sample clustering have become hot topics in bioinformatics. Principal Component Analysis (PCA) is a widely used method in gene expression d...

Authors: Chun-Mei Feng, Yong Xu, Mi-Xiao Hou, Ling-Yun Dai and Jun-Liang Shang

Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints

Identifying different types of cancer based on gene expression data has become hotspot in bioinformatics research. Clustering cancer gene expression data from multiple cancers to their own class is a significa...

Authors: Juan Wang, Cong-Hai Lu, Jin-Xing Liu, Ling-Yun Dai and Xiang-Zhen Kong

Protein sequence information extraction and subcellular localization prediction with gapped k-Mer method

Subcellular localization prediction of protein is an important component of bioinformatics, which has great importance for drug design and other applications. A multitude of computational tools for proteins su...

Authors: Yu-hua Yao, Ya-ping Lv, Ling Li, Hui-min Xu, Bin-bin Ji, Jing Chen, Chun Li, Bo Liao and Xu-ying Nan

A novel method detecting the key clinic factors of portal vein system thrombosis of splenectomy & cardia devascularization patients for cirrhosis & portal hypertension

Portal vein system thrombosis (PVST) is potentially fatal for patients if the diagnosis is not timely or the treatment is not proper. There hasn’t been any available technique to detect clinic risk factors to ...

Authors: Mingzhao Wang, Linglong Ding, Meng Xu, Juanying Xie, Shengli Wu, Shengquan Xu, Yingmin Yao and Qingguang Liu