Terkko Navigator / IEEE/ACM Transactions on Computational Biology and Bioinformatics

EPGAT: Gene Essentiality Prediction With Graph Attention Networks.

Design-for-Trust Techniques for Digital Microfluidic Biochip Layout with Error Control Mechanism.

Detection of Tandem Repeats in DNA Sequences Using Short-Time Ramanujan Fourier Transform.

CEPZ: A Novel Predictor for Identification of DNase I Hypersensitive Sites.

iEnhancer-KL: a novel two-layer predictor for identifying enhancer by position specific of nucleotide composition.

The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Behçet's Disease.

An ensemble hybrid feature selection method for neuropsychiatric disorder classification.

Classification of Mild Cognitive Impairment with Multimodal Data using both Labeled and Unlabeled Samples.

EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications.

Extracting ROI-Based Contourlet Subband Energy Feature from the sMRI Image for Alzheimer's Disease Classification.

DPCMNE: detecting protein complexes from protein-protein interaction networks via multi-level network embedding.

Stability and bifurcation analysis of a diffusive miR-9/Hes1 network with time delay.

Detection of Phenotype-related Mutations of COVID-19 via the Whole Genomic Data.

A new estimation method for the biological interaction predicting problems.

2019nCoVAS: Developing the Web Service for Epidemic Transmission Prediction, Genome Analysis, and Psychological Stress Assessment for 2019-nCoV.

FBCwPlaid: A Functional Bi-clustering Analysis of Epi-transcriptome Profiling Data via a Weighted Plaid Model.

Improved Protein Decoy Selection via Non-Negative Matrix Factorization.

Heuristics for the Reversal and Transposition Distance Problem.

Generation of Level- k LGT Networks.

Deleterious Non-Synonymous Single Nucleotide Polymorphism Predictions on Human Transcription Factors.

Using Unlabeled Data to Discover Bivariate Causality with Deep Restricted Boltzmann Machines.

Heterogeneous Domain Adaptation for IHC Classification of Breast Cancer Subtypes.

Fast Short Read De-Novo Assembly Using Overlap-Layout-Consensus Approach.

Gene Regulatory Relationship Mining Using Improved Three-Phase Dependency Analysis Approach.

Softepigen: Primers Design Web-Based Tool for MS-HRM Technique.

Rapid Reconstruction of Time-Varying Gene Regulatory Networks.

Fast de Bruijn Graph Compaction in Distributed Memory Environments.

MultiMotifMaker: A Multi-Thread Tool for Identifying DNA Methylation Motifs from Pacbio Reads.

Improving de novo Assembly Based on Read Classification.

NMFGO: Gene Function Prediction via Nonnegative Matrix Factorization with Gene Ontology.

LPGNMF: Predicting Long Non-Coding RNA and Protein Interaction Using Graph Regularized Nonnegative Matrix Factorization.

Microarray-Based Quality Assessment as a Supporting Criterion for de novo Transcriptome Assembly Selection.

An Application of the Bayesian Periodicity Test to Identify Diurnal Rhythm Genes in the Brain.

Disruption of Protein Complexes from Weighted Complex Networks.

GaMRed-Adaptive Filtering of High-Throughput Biological Data.

Optimal Bayesian Filtering for Biomarker Discovery: Performance and Robustness.

EL_LSTM: Prediction of DNA-Binding Residue from Protein Sequence by Combining Long Short-Term Memory and Ensemble Learning.

PolyCluster: Minimum Fragment Disagreement Clustering for Polyploid Phasing.

Class Balanced Multifactor Dimensionality Reduction to Detect Gene-Gene Interactions.

Deep Manifold Preserving Autoencoder for Classifying Breast Cancer Histopathological Images.

A Supervised Ensemble Approach for Sensitive microRNA Target Prediction.

A Promising Method for Calculating True Steady-State Metabolite Concentrations in Large-Scale Metabolic Reaction Network Models.

Assessing the Effectiveness of Causality Inference Methods for Gene Regulatory Networks.

Nature-Inspired Multiobjective Epistasis Elucidation from Genome-Wide Association Studies.

Identifying "Many-to-Many" Relationships between Gene-Expression Data and Drug-Response Data via Sparse Binary Matching.

Drug Selection via Joint Push and Learning to Rank.

Using Emulation to Engineer and Understand Simulations of Biological Systems.

Stepwise Tikhonov Regularisation: Application to the Prediction of HIV-1 Drug Resistance.

Multi-Factored Gene-Gene Proximity Measures Exploiting Biological Knowledge Extracted from Gene Ontology: Application in Gene Clustering.

Deep Learning for Plant Species Classification Using Leaf Vein Morphometric.