Edited by Henry Han and Wenbin Liu
Volume 20 Supplement 22
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.
Nanning, China22-24 June 2019
-
Citation: BMC Bioinformatics 2019 20(Suppl 22):712
-
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...
Citation: BMC Bioinformatics 2019 20(Suppl 22):717 -
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 ...
Citation: BMC Bioinformatics 2019 20(Suppl 22):713 -
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...
Citation: BMC Bioinformatics 2019 20(Suppl 22):714 -
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...
Citation: BMC Bioinformatics 2019 20(Suppl 22):715 -
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...
Citation: BMC Bioinformatics 2019 20(Suppl 22):716 -
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...
Citation: BMC Bioinformatics 2019 20(Suppl 22):718 -
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...
Citation: BMC Bioinformatics 2019 20(Suppl 22):719 -
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 ...
Citation: BMC Bioinformatics 2019 20(Suppl 22):720
Annual Journal Metrics
-
Citation Impact 2023
Journal Impact Factor: 2.9
5-year Journal Impact Factor: 3.6
Source Normalized Impact per Paper (SNIP): 0.821
SCImago Journal Rank (SJR): 1.005
Speed 2023
Submission to first editorial decision (median days): 12
Submission to acceptance (median days): 146
Usage 2023
Downloads: 5,987,678
Altmetric mentions: 4,858