AIMC Topic: Algorithms

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A comprehensive review of the imbalance classification of protein post-translational modifications.

Briefings in bioinformatics Sep 2, 2021
Post-translational modifications (PTMs) play significant roles in regulating protein structure, activity and function, and they are closely involved in various pathologies. Therefore, the identification of associated PTMs is the foundation of in-dept...
Humans Databases, Protein Neural Networks, Computer Models, Biological Machine Learning Algorithms Reproducibility of Results Computational Biology Protein Processing, Post-Translational Proteins
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Deep embedded clustering with multiple objectives on scRNA-seq data.

Briefings in bioinformatics Sep 2, 2021
In recent years, single-cell RNA sequencing (scRNA-seq) technologies have been widely adopted to interrogate gene expression of individual cells; it brings opportunities to understand the underlying processes in a high-throughput manner. Deep embedde...
Reproducibility of Results Gene Expression Profiling Single-Cell Analysis RNA-Seq Humans Computational Biology Cluster Analysis Models, Genetic Neural Networks, Computer Mutation Gene Ontology Algorithms
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A spatial-temporal gated attention module for molecular property prediction based on molecular geometry.

Briefings in bioinformatics Sep 2, 2021
MOTIVATION: Geometry-based properties and characteristics of drug molecules play an important role in drug development for virtual screening in computational chemistry. The 3D characteristics of molecules largely determine the properties of the drug ...
Molecular Conformation Molecular Structure Pharmaceutical Preparations Ligands Proteins Models, Molecular Algorithms Reproducibility of Results Humans Drug Discovery Neural Networks, Computer Deep Learning Software Protein Binding Computational Biology
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Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides.

Briefings in bioinformatics Sep 2, 2021
Antimicrobial peptides (AMPs) are a unique and diverse group of molecules that play a crucial role in a myriad of biological processes and cellular functions. AMP-related studies have become increasingly popular in recent years due to antimicrobial r...
Viruses Pore Forming Cytotoxic Proteins Computational Biology Support Vector Machine Fungi Machine Learning Algorithms Databases, Factual Biofilms Bacteria
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Machine learning on ligand-residue interaction profiles to significantly improve binding affinity prediction.

Briefings in bioinformatics Sep 2, 2021
Structure-based virtual screenings (SBVSs) play an important role in drug discovery projects. However, it is still a challenge to accurately predict the binding affinity of an arbitrary molecule binds to a drug target and prioritize top ligands from ...
Humans Deep Learning Protein Binding Databases, Protein Algorithms Molecular Docking Simulation Drug Discovery Crystallization Receptors, G-Protein-Coupled Molecular Structure Drug Evaluation, Preclinical Protein Kinases Ligands
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jSRC: a flexible and accurate joint learning algorithm for clustering of single-cell RNA-sequencing data.

Briefings in bioinformatics Sep 2, 2021
Single-cell RNA-sequencing (scRNA-seq) explores the transcriptome of genes at cell level, which sheds light on revealing the heterogeneity and dynamics of cell populations. Advances in biotechnologies make it possible to generate scRNA-seq profiles f...
Machine Learning Single-Cell Analysis Algorithms Sequence Analysis, RNA Cluster Analysis
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Classification and gene selection of triple-negative breast cancer subtype embedding gene connectivity matrix in deep neural network.

Briefings in bioinformatics Sep 2, 2021
Triple-negative breast cancer (TNBC) has been a challenging breast cancer subtype for oncological therapy. Normally, it can be classified into different molecular subtypes. Accurate and stable classification of the six subtypes is essential for perso...
Precision Medicine Female Antineoplastic Agents Humans Neural Networks, Computer Triple Negative Breast Neoplasms Gene Regulatory Networks Algorithms RNA, Long Noncoding RNA, Messenger Neoplasm Proteins Gene Expression Regulation, Neoplastic
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Evolutionary artificial intelligence algorithms for the one-way road orientation planning problem with multiple venues: An example of evacuation planning in Taiwan.

Science progress Sep 1, 2021
INTRODUCTION: In large-scale events such as concerts and sports competitions, participants often leave the venue at the same time to return to their respective destinations. Improper traffic planning and traffic light operation usually lead to traffi...
Algorithms Humans Taiwan Artificial Intelligence Biological Evolution
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Application of supervised machine learning as a method for identifying DEM contact law parameters.

Mathematical biosciences and engineering : MBE Sep 1, 2021
Calibration of Discrete Element Method (DEM) models is an iterative process of adjusting input parameters such that the macroscopic results of simulations and experiments are similar. Therefore, selecting appropriate input parameters of a model effec...
Machine Learning Algorithms Supervised Machine Learning Linear Models Calibration
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Deep learning based real-time tourist spots detection and recognition mechanism.

Science progress Sep 1, 2021
More and more information on tourist spots is being represented as pictures rather than text. Consequently, tourists who are interested in a specific attraction shown in pictures may have no idea how to perform a text search to get more information a...
Taiwan Neural Networks, Computer Algorithms Deep Learning
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