Fengfeng Zhou

De novo computational prediction of non-coding RNA genes in prokaryotic genomes.

cBar: a computer program to distinguish plasmid-derived from chromosome-derived sequence fragments in metagenomics data.

QServer: a biclustering server for prediction and assessment of co-expressed gene clusters.

Normalizing electrocardiograms of both healthy persons and cardiovascular disease patients for biometric authentication.

Gene expression profile based classification models of psoriasis.

A novel molecular typing method of Mycobacteria based on DNA barcoding visualization.

Genome-wide screening of pathogenicity islands in Mycobacterium tuberculosis based on the genomic barcode visualization.

A novel electrocardiogram parameterization algorithm and its application in myocardial infarction detection.

Personalized clinical data screening: Special issue on health informatics.

McTwo: a two-step feature selection algorithm based on maximal information coefficient.

A Comprehensive Curation Shows the Dynamic Evolutionary Patterns of Prokaryotic CRISPRs.

CD3D and PRKCQ work together to discriminate between B-cell and T-cell acute lymphoblastic leukemia.

CRISPRdigger: detecting CRISPRs with better direct repeat annotations.

Rectified-Linear-Unit-Based Deep Learning for Biomedical Multi-label Data.

Gly-PseAAC: Identifying protein lysine glycation through sequences.

Machine learning based detection of age-related macular degeneration (AMD) and diabetic macular edema (DME) from optical coherence tomography (OCT) images.

Multiple similarly-well solutions exist for biomedical feature selection and classification problems.

RIFS: a randomly restarted incremental feature selection algorithm.

Cortical and Subcortical Brain Morphometry Differences Between Patients With Autism Spectrum Disorder and Healthy Individuals Across the Lifespan: Results From the ENIGMA ASD Working Group.

Multi-label Deep Learning for Gene Function Annotation in Cancer Pathways.

Author Correction: Multiple similarly effective solutions exist for biomedical feature selection and classification problems.

An OMIC biomarker detection algorithm TriVote and its application in methylomic biomarker detection.

Proteomic biomarkers for lung cancer progression.

Publisher Correction: Multiple similarly effective solutions exist for biomedical feature selection and classification problems.

Gender specificity improves the early-stage detection of clear cell renal cell carcinoma based on methylomic biomarkers.

Integration of 24 Feature Types to Accurately Detect and Predict Seizures Using Scalp EEG Signals.

Author Correction: Multi-label Deep Learning for Gene Function Annotation in Cancer Pathways.

TriZ-a rotation-tolerant image feature and its application in endoscope-based disease diagnosis.

Author Correction: Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets.

Computational prediction and experimental validation of novel markers for detection of STEC O157:H7.

MUSTv2: An Improved De Novo Detection Program for Recently Active Miniature Inverted Repeat Transposable Elements (MITEs).

Improving Prediction of Self-interacting Proteins Using Stacked Sparse Auto-Encoder with PSSM profiles.

pyHIVE, a health-related image visualization and engineering system using Python.

An accurate regression of developmental stages for breast cancer based on transcriptomic biomarkers.

Using Machine Learning to Measure Relatedness Between Genes: A Multi-Features Model.

Age Is Important for the Early-Stage Detection of Breast Cancer on Both Transcriptomic and Methylomic Biomarkers.

Detecting Methylomic Biomarkers of Pediatric Autism in the Peripheral Blood Leukocytes.

Diagnosis of Breast Hyperplasia and Evaluation of RuXian-I Based on Metabolomics Deep Belief Networks.

sefOri: selecting the best-engineered sequence features to predict DNA replication origins.

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.

Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets.

Epigenetic profiles capturing breast cancer stemness for triple negative breast cancer control.

AgeGuess, a Methylomic Prediction Model for Human Ages.

Dimension Reduction and Clustering Models for Single-Cell RNA Sequencing Data: A Comparative Study.

Detection and Comparative Analysis of Methylomic Biomarkers of Rheumatoid Arthritis.

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

Surgical resection of primary tumor is associated with prolonged survival in low-grade pancreatic neuroendocrine tumors.

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.

A Machine Learning-Based Investigation of Gender-Specific Prognosis of Lung Cancers.

A dynamic recursive feature elimination framework (dRFE) to further refine a set of OMIC biomarkers.

Finding branched pathways in metabolic network via atom group tracking.

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.

EnRank: An Ensemble Method to Detect Pulmonary Hypertension Biomarkers Based on Feature Selection and Machine Learning Models.

XGraphBoost: Extracting Graph Neural Network-Based Features for a Better Prediction of Molecular Properties.

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.

Proactive Personality Measurement Using Item Response Theory and Social Media Text Mining.

Zoo: Selecting Transcriptomic and Methylomic Biomarkers by Ensembling Animal-Inspired Swarm Intelligence Feature Selection Algorithms.

Decreased Iron Ion Concentrations in the Peripheral Blood Correlate with Coronary Atherosclerosis.

Describe Molecules by a Heterogeneous Graph Neural Network with Transformer-like Attention for Supervised Property Predictions.

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

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.

Editorial: Biomarker Detection Algorithms and Tools for Medical Imaging or Omics Data.

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.

AcneTyper: An automatic diagnosis method of dermoscopic acne image via self-ensemble and stacking.

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.

OCMR: A comprehensive framework for optical chemical molecular recognition.

Undifferentially Expressed CXXC5 as a Transcriptionally Regulatory Biomarker of Breast 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.

Multi-view progression diagnosis of thyroid cancer by integrating platelet transcriptomes and blood routine tests.

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

MolFeSCue: Enhancing molecular property prediction in Data-Limited and imbalanced contexts using Few-Shot and contrastive learning.