Meiyu Duan

Feature selection may improve deep neural networks for the bioinformatics problems.

BioDog, biomarker detection for improving identification power of breast cancer histologic grade in methylomics.

AgeGuess, a Methylomic Prediction Model for Human Ages.

Selection of features for patient-independent detection of seizure events using scalp EEG signals.

Detection and Independent Validation of Model-Based Quantitative Transcriptional Regulation Relationships Altered in Lung Cancers.

Application of Bayesian phylogenetic inference modelling for evolutionary genetic analysis and dynamic changes in 2019-nCoV.

Severity Detection for the Coronavirus Disease 2019 (COVID-19) Patients Using a Machine Learning Model Based on the Blood and Urine Tests.

COVID19XrayNet: A Two-Step Transfer Learning Model for the COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images.

FeSTwo, a two-step feature selection algorithm based on feature engineering and sampling for the chronological age regression problem.

A comprehensive comparison of residue-level methylation levels with the regression-based gene-level methylation estimations by ReGear.

Reduced Serum Zinc Ion Concentration Is Associated with Coronary Heart Disease.

Females and Males Show Differences in Early-Stage Transcriptomic Biomarkers of Lung Adenocarcinoma and Lung Squamous Cell Carcinoma.

A Novel Position-Specific Encoding Algorithm (SeqPose) of Nucleotide Sequences and Its Application for Detecting Enhancers.

RIFS2D: A two-dimensional version of a randomly restarted incremental feature selection algorithm with an application for detecting low-ranked biomarkers.

Impacts of high-quality public data: Special issue on integrating public and in-house biomedical data.

Computational pan-cancer characterization of model-based quantitative transcription regulations dysregulated in regional lymph node metastasis.

DiaMole: Mole Detection and Segmentation Software for Mobile Phone Skin Images.

Subtly altered topological asymmetry of brain structural covariance networks in autism spectrum disorder across 43 datasets from the ENIGMA consortium.

Feature Selection of OMIC Data by Ensemble Swarm Intelligence Based Approaches.

A polygenic stacking classifier revealed the complicated platelet transcriptomic landscape of adult immune thrombocytopenia.

HLAB: learning the BiLSTM features from the ProtBert-encoded proteins for the class I HLA-peptide binding prediction.

MuscNet, a Weighted Voting Model of Multi-Source Connectivity Networks to Predict Mild Cognitive Impairment Using Resting-State Functional MRI.

AcneGrader: An ensemble pruning of the deep learning base models to grade acne.

Transforming OMIC features for classification using siamese convolutional networks.

Pan-cancer identification of the relationship of metabolism-related differentially expressed transcription regulation with non-differentially expressed target genes via a gated recurrent unit network.

Integration of lncRNAs, Protein-Coding Genes and Pathology Images for Detecting Metastatic Melanoma.

Seven non-differentially expressed 'dark biomarkers' show transcriptional dysregulation in chronic lymphocytic leukemia.

Gender-specific dysregulations of nondifferentially expressed biomarkers of metastatic colon cancer.

EpiTEAmDNA: Sequence feature representation via transfer learning and ensemble learning for identifying multiple DNA epigenetic modification types across species.

Transcriptional Dysregulations of Seven Non-Differentially Expressed Genes as Biomarkers of Metastatic Colon Cancer.

Orchestrating information across tissues via a novel multitask GAT framework to improve quantitative gene regulation relation modeling for survival analysis.

Reconstructing the cytokine view for the multi-view prediction of COVID-19 mortality.

Computational Characterization of Undifferentially Expressed Genes with Altered Transcription Regulation in Lung Cancer.