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

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.

Predicting FAD Interacting Residues with Feature Selection and Comprehensive Sequence Descriptors.

Flexible Non-Negative Matrix Factorization to Unravel Disease-Related Genes.

A Multi-Laplacian Prior and Augmented Lagrangian Approach to the Exploratory Analysis of Time-Varying Gene and Transcriptional Regulatory Networks for Gene Microarray Data.

Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning.

A Distributed Feature Selection Algorithm Based on Distance Correlation with an Application to Microarrays.

A Composite Mode Differential Gene Regulatory Architecture based on Temporal Expression Profiles.

Inferring Large-Scale Gene Regulatory Networks Using a Randomized Algorithm Based on Singular Value Decomposition.

A Probabilistic Framework for Molecular Network Structure Inference by Means of Mechanistic Modeling.

Machine Vision System for 3D Plant Phenotyping.

A Deep Learning Approach for Targeted Contrast-Enhanced Ultrasound Based Prostate Cancer Detection.

Protein Domain Level Cancer Drug Targets in the Network of MAPK Pathways.

Transfer Learning for Molecular Cancer Classification Using Deep Neural Networks.

Dynamical Detection of Boundaries and Cavities in Biophysical Cell-Based Simulations of Growing Tumor Tissues.

3gClust: Human Protein Cluster Analysis.

Correction to "A Reaction-Based Model of the State Space of Chemical Reaction Systems Enables Efficient Simulations".

Integrative Biological Network Analysis to Identify Shared Genes in Metabolic Disorders.

Boltzmann Machine Learning and Regularization Methods for Inferring Evolutionary Fields and Couplings from a Multiple Sequence Alignment.

EBST: An Evolutionary Multi-Objective Optimization Based Tool for Discovering Potential Biomarkers in Ovarian Cancer.

Sorting Signed Permutations by Intergenic Reversals.

Comparing phylogenetic approaches to reconstructing cell lineage from microsatellites with missing data.

Unsupervised learning framework with multidimensional scaling in predicting epithelial-mesenchymal transitions.

Multi-objective Simulated Annealing Variants to Infer Gene Regulatory Network: A Comparative Study.

Netboost: Boosting-supported Network Analysis Improves High-Dimensional Omics Prediction in Acute Myeloid Leukemia and Huntington's Disease.

Protein Fold Recognition Based on Auto-Weighted Multi-view Graph Embedding Learning Model.

Understanding the Limit of Open Search in the Identification of Peptides with Post-translational Modifications - A Simulation-based Study.

A Transfer Learning Based Super-Resolution Microscopy for Biopsy Slice Images: The Joint Methods Perspective.

Prediction of drug-target interactions based on network representation learning and ensemble learning.

Convolutional Neural Network with Graphical Lasso to Extract Sparse Topological Features for Brain Disease Classification.

Manipulating extracellular matrix organizations and parameters to control local cancer invasion.

A Convolutional Deep Clustering Framework for Gene Expression Time Series.

Computing the Inversion-Indel Distance.

A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti- Longevity Genes.

SNP data science for classification of bipolar disorder I and bipolar disorder II.

Predicting drug-drug interactions based on integrated similarity and semi-supervised learning.

Identifying Microbe-Disease Association Based on a Novel Back-Propagation Neural Network Model.

Identifying molecular biomarkers for diseases with machine learning based on integrative omics.

Multi-neighborhood Learning for Global Alignment in Biological Networks.

ResNet-SCDA-50 for breast abnormality classification.

Foretelling the Phenotype of a Genomic Sequence.