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Block Interchange and Reversal Distance on Unbalanced Genomes
circTIS: a weighted degree string kernel with support vector machine tool for translation initiation sites prediction in circRNA
Evaluating the molecular-electronic structure and the antiviral effect of functionalized heparin on graphene oxide through ab initio computer simulations and molecular docking
Make No Mistake! Why Do Tools Make Incorrect Long Non-Coding Rna Classification?
Spectrum-Based Statistical Methods for Directed Graphs with Applications in Biological Data
Feature Selection Investigation in Machine Learning Docking Scoring Functions
Using natural language processing for context identification in COVID-19 literature
A framework for inference and selection of cell signaling pathway dynamic models
Intentional Semantics for Molecular Biology
transcAnalysis: A Snakemake Pipeline for Differential Expression and Post-Transcriptional Modification Analysis
Peptide-protein interface classification using convolutional neural networks
A Power Law Semantic Similarity from Gene Ontology
Gene Networks Inference by Reinforcement Learning Approach
Exploring Identifiability in Hybrid Models of Cell Signaling Pathways.
circTIS: a weighted degree string kernel with support vector machine tool for translation initiation sites prediction in circRNA
Evaluating the molecular-electronic structure and the antiviral effect of functionalized heparin on graphene oxide through ab initio computer simulations and molecular docking
Make No Mistake! Why Do Tools Make Incorrect Long Non-Coding Rna Classification?
Spectrum-Based Statistical Methods for Directed Graphs with Applications in Biological Data
Feature Selection Investigation in Machine Learning Docking Scoring Functions
Using natural language processing for context identification in COVID-19 literature
A framework for inference and selection of cell signaling pathway dynamic models
Intentional Semantics for Molecular Biology
transcAnalysis: A Snakemake Pipeline for Differential Expression and Post-Transcriptional Modification Analysis
Peptide-protein interface classification using convolutional neural networks
A Power Law Semantic Similarity from Gene Ontology
Gene Networks Inference by Reinforcement Learning Approach
Exploring Identifiability in Hybrid Models of Cell Signaling Pathways.