AIMC Topic: Computational Biology

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Multiview learning for understanding functional multiomics.

PLoS computational biology Apr 2, 2020
The molecular mechanisms and functions in complex biological systems currently remain elusive. Recent high-throughput techniques, such as next-generation sequencing, have generated a wide variety of multiomics datasets that enable the identification ...
DNA Alzheimer Disease High-Throughput Nucleotide Sequencing Cluster Analysis Metabolomics Data Interpretation, Statistical Chlamydomonas reinhardtii Algorithms Brain Single-Cell Analysis Genomics Computational Biology Proteomics Humans Machine Learning Software
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Machine learning, the kidney, and genotype-phenotype analysis.

Kidney international Apr 1, 2020
With biomedical research transitioning into data-rich science, machine learning provides a powerful toolkit for extracting knowledge from large-scale biological data sets. The increasing availability of comprehensive kidney omics compendia (transcrip...
Humans Machine Learning Phenotype Genotype Computational Biology Kidney
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Development of a Bioinformatics Framework for Identification and Validation of Genomic Biomarkers and Key Immunopathology Processes and Controllers in Infectious and Non-infectious Severe Inflammatory Response Syndrome.

Frontiers in immunology Mar 31, 2020
Sepsis is defined as dysregulated host response caused by systemic infection, leading to organ failure. It is a life-threatening condition, often requiring admission to an intensive care unit (ICU). The causative agents and processes involved are mul...
Systemic Inflammatory Response Syndrome Humans Computational Biology Neural Networks, Computer Genetic Markers Sepsis
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HMMPred: Accurate Prediction of DNA-Binding Proteins Based on HMM Profiles and XGBoost Feature Selection.

Computational and mathematical methods in medicine Mar 28, 2020
Prediction of DNA-binding proteins (DBPs) has become a popular research topic in protein science due to its crucial role in all aspects of biological activities. Even though considerable efforts have been devoted to developing powerful computational ...
Algorithms ROC Curve DNA-Binding Proteins Humans Computational Biology Support Vector Machine Amino Acid Sequence Machine Learning Databases, Protein Markov Chains Amino Acids
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DDBJ Data Analysis Challenge: a machine learning competition to predict Arabidopsis chromatin feature annotations from DNA sequences.

Genes & genetic systems Mar 26, 2020
Recently, the prospect of applying machine learning tools for automating the process of annotation analysis of large-scale sequences from next-generation sequencers has raised the interest of researchers. However, finding research collaborators with ...
Machine Learning Data Analysis Genome, Plant Molecular Sequence Annotation Computational Biology Arabidopsis Crowdsourcing Japan Chromatin Databases, Nucleic Acid High-Throughput Nucleotide Sequencing
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IMPContact: An Interhelical Residue Contact Prediction Method.

BioMed research international Mar 25, 2020
As an important category of proteins, alpha-helix transmembrane proteins (TMPs) play an important role in various biological activities. Because the solved αTMP structures are inadequate, predicting the residue contacts among the transmembrane segmen...
Protein Conformation Neural Networks, Computer Machine Learning Algorithms Computational Biology Membrane Proteins Databases, Protein
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Interactive Echocardiography Translation Using Few-Shot GAN Transfer Learning.

Computational and mathematical methods in medicine Mar 19, 2020
BACKGROUND: Interactive echocardiography translation is an efficient educational function to master cardiac anatomy. It strengthens the student's understanding by pixel-level translation between echocardiography and theoretically sketch images. Previ...
Computational Biology Heart Education, Medical, Graduate Computer-Assisted Instruction Echocardiography Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Algorithms
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SAEROF: an ensemble approach for large-scale drug-disease association prediction by incorporating rotation forest and sparse autoencoder deep neural network.

Scientific reports Mar 18, 2020
Drug-disease association is an important piece of information which participates in all stages of drug repositioning. Although the number of drug-disease associations identified by high-throughput technologies is increasing, the experimental methods ...
Lung Neoplasms Computational Biology Support Vector Machine Obesity Anti-Obesity Agents Area Under Curve Stomach Neoplasms Antineoplastic Agents ROC Curve Algorithms Databases, Factual Humans Neural Networks, Computer Machine Learning Computer Simulation
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Improving the binding affinity estimations of protein-ligand complexes using machine-learning facilitated force field method.

Journal of computer-aided molecular design Mar 17, 2020
Scoring functions are routinely deployed in structure-based drug design to quantify the potential for protein-ligand (PL) complex formation. Here, we present a new scoring function Bappl+ that is designed to predict the binding affinities of non-meta...
Protein Binding Computational Biology Proteins Machine Learning Drug Design Metals Databases, Protein Quantum Theory Ligands
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HNet-DNN: Inferring New Drug-Disease Associations with Deep Neural Network Based on Heterogeneous Network Features.

Journal of chemical information and modeling Mar 13, 2020
Drug research and development is a time-consuming and high-cost task, pressing an urgent demand to identify novel indications of approved drugs, referred to as drug repositioning, which provides an economical and efficient way for drug discovery. Wit...
Computational Biology Drug Repositioning Pharmaceutical Preparations Neural Networks, Computer Drug Discovery
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