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

Learning useful representations of DNA sequences from ChIP-seq datasets for exploring transcription factor binding specificities.

Scalable Non-Linear Graph Fusion for Prioritizing Cancer-Causing Genes.

scLRTD : A novel low rank tensor decomposition method for imputing missing values in single-cell multi-omics sequencing data.

Multi-Scale Capsule Network for Predicting DNA-Protein Binding Sites.

Statistical Analysis of Microarray Data Clustering using NMF, Spectral Clustering, Kmeans, and GMM.

Predicting TF-DNA Binding Motifs from ChIP-seq Datasets Using the Bag-based Classifier Combined with a Multi-fold Learning Scheme.

A Multi-Scale Activity Transition Network for Data Translation in EEG Signals Decoding.

EMS3: An Improved Algorithm for Finding Edit-distance Based Motifs.

A Novel Encoding and Decoding Calibration Guiding Pathway for Pathological Image Analysis.

Optimized elastic network models with direct characterization of inter-residue cooperativity for protein dynamics.

Inference of a Dynamic Aging-related Biological Subnetwork via Network Propagation.

Row and Column Structure-based Biclustering for Gene Expression Data.

A Novel Method for Constructing Classification Models by Combining Different Biomarker Patterns.

Predicting Coding Potential of RNA Sequences by Solving Local Data Imbalance.

IBM Functional Genomics Platform, A Cloud-Based Platform for Studying Microbial Life at Scale.

LDA-LNSUBRW: lncRNA-disease association prediction based on linear neighborhood similarity and unbalanced bi-random walk.

frDriver: A functional region driver identification for protein sequence.

A Novel Graph Topology based GO-Similarity Measure for Signature Detection from Multi-Omics Data and its Application to Other Problems.

Detecting Disease-Associated SNP-SNP Interactions Using Progressive Screening Memetic Algorithm.

Relation Extraction from Biomedical and Clinical Text: Unified Multitask Learning Framework.

Identifying gene signatures for cancer drug repositioning based on sample clustering.

A pipeline for integrated theory and data-driven modeling of biomedical data.

Deep Reinforcement Learning Based Progressive Sequence Saliency Discovery Network for Mitosis Detection In Time-Lapse Phase-Contrast Microscopy Images.

Using Symmetry to Enhance the Performance of Agent-based Epidemic Models.

Subject-independent Emotion Recognition of EEG Signals Based on Dynamic Empirical Convolutional Neural Network.

Multi-modal classification for human breast cancer prognosis prediction: Proposal of deep-learning based stacked ensemble model.

DMFMDA: Prediction of microbe-disease associations based on deep matrix factorization using Bayesian Personalized Ranking.

Predicting the prognosis of MCI patients using longitudinal MRI data.

A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction.

CIPHER-SC: Disease-Gene Association Inference Using Graph Convolution on a Context-Aware Network with Single-Cell Data.

Common Neighbors Extension of the Sticky Model for PPI Networks Evaluated by Global and Local Graphlet Similarity.

A New Approach to Deriving Prognostic Gene Pairs from Cancer Patient-specific Gene Correlation Networks.

DNA Privacy: Analyzing Malicious DNA Sequences using Deep Neural Networks.

Learning Transferable Driven and Drone Assisted Sustainable and Robust Regional Disease Surveillance for Smart Healthcare.

Deciphering key genes and miRNAs associated with Hepatocellular carcinoma via network-based approach.

Dual Triggered Correspondence Topic (DTCT) model for MeSH annotation.

Pregnancy Associated Breast Cancer gene expressions : new insights on their regulation based on Rare Correlated Patterns.

GPU Accelerated Drug Application on Signaling Pathways containing Multiple Faults using Boolean Networks.

MISSIM: An incremental learning-based model with applications to the prediction of miRNA-disease association.

Identification of Differentially Expressed Genes to Establish New Biomarker for Cancer Prediction.

Combining Context and Knowledge Representations for Chemical-Disease Relation Extraction.

Enhancement of Proteinβ-Sheet Topology Prediction Using Maximum Weight Disjoint Path Cover.

A Parametric Targetability Evaluation Approach for Vitiligo Proteome Extracted through Integration of Gene Ontologies and Protein Interaction Topologies.

Efficiently Detecting Protein Complexes from Protein Interaction Networks via Alternating Direction Method of Multipliers.

Robust Inductive Matrix Completion Strategy to Explore Associations Between LincRNAs and Human Disease Phenotypes.

Computational Drug Repositioning with Random Walk on a Heterogeneous Network.

An Integrative Framework for Protein Interaction Network and Methylation Data to Discover Epigenetic Modules.

Modelling Microbial Fuel Cells Using Lattice Boltzmann Methods.

Robust Microbial Markers for Non-Invasive Inflammatory Bowel Disease Identification.

MIMOSA: Algorithms for Microbial Profiling.