AIMC Topic: Humans

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Segmenting lung tumors on longitudinal imaging studies via a patient-specific adaptive convolutional neural network.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Dec 31, 2018
PURPOSE: To design a deep learning algorithm that automatically delineates lung tumors seen on weekly magnetic resonance imaging (MRI) scans acquired during radiotherapy and facilitates the analysis of geometric tumor changes.
Lung Neoplasms Algorithms Longitudinal Studies Magnetic Resonance Imaging Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Deep structure tensor graph search framework for automated extraction and characterization of retinal layers and fluid pathology in retinal SD-OCT scans.

Computers in biology and medicine Dec 31, 2018
Maculopathy is a group of retinal disorders that affect macula and cause severe visual impairment if not treated in time. Many computer-aided diagnostic methods have been proposed over the past that automatically detect macular diseases. However, to ...
Retina Humans Neural Networks, Computer Macular Degeneration Tomography, Optical Coherence Image Interpretation, Computer-Assisted
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Antifungal activity of the essential oils of some medicinal plants against human and plant fungal pathogens.

Cellular and molecular biology (Noisy-le-Grand, France) Dec 31, 2018
The present study was conducted to assess the antifungal activity of essential oils of medicinal plants Mentha piperita (peppermint), Foeniculum vulgare, Satureja hortensis (Savory), Ferula asafoetida and Cuminum cyminum against Alternaria sp., Bipol...
Plants, Medicinal Oils, Volatile Captan Humans Antifungal Agents Amphotericin B Microbial Sensitivity Tests Fungi
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Discovering functional impacts of miRNAs in cancers using a causal deep learning model.

BMC medical genomics Dec 31, 2018
BACKGROUND: Micro-RNAs (miRNAs) play a significant role in regulating gene expression under physiological and pathological conditions such as cancers. However, it remains a challenging problem to discover the target messenger RNAs (mRNAs) of a miRNA ...
MicroRNAs Models, Statistical RNA, Neoplasm Deep Learning RNA, Messenger Models, Genetic Humans Neoplasms
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CRlncRC: a machine learning-based method for cancer-related long noncoding RNA identification using integrated features.

BMC medical genomics Dec 31, 2018
BACKGROUND: Long noncoding RNAs (lncRNAs) are widely involved in the initiation and development of cancer. Although some computational methods have been proposed to identify cancer-related lncRNAs, there is still a demanding to improve the prediction...
Humans Machine Learning RNA, Neoplasm Computational Biology Epigenesis, Genetic Algorithms RNA, Long Noncoding Neoplasms
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miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase.

BMC bioinformatics Dec 31, 2018
BACKGROUND: miRBase is the primary repository for published miRNA sequence and annotation data, and serves as the "go-to" place for miRNA research. However, the definition and annotation of miRNAs have been changed significantly across different vers...
Molecular Sequence Annotation Gene Ontology Databases, Nucleic Acid MicroRNAs Terminology as Topic Humans Software Algorithms Animals Computational Biology
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Deep learning for DNase I hypersensitive sites identification.

BMC genomics Dec 31, 2018
BACKGROUND: The DNase I hypersensitive sites (DHSs) are associated with the cis-regulatory DNA elements. An efficient method of identifying DHSs can enhance the understanding on the accessibility of chromatin. Despite a multitude of resources availab...
Deoxyribonuclease I Arabidopsis Regulatory Sequences, Nucleic Acid Humans Deep Learning Computational Biology Oryza Models, Biological
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Convolutional neural network based on SMILES representation of compounds for detecting chemical motif.

BMC bioinformatics Dec 31, 2018
BACKGROUND: Previous studies have suggested deep learning to be a highly effective approach for screening lead compounds for new drugs. Several deep learning models have been developed by addressing the use of various kinds of fingerprints and graph ...
Humans Neural Networks, Computer Proteins DNA Models, Chemical Software Deep Learning Protein Binding Pharmaceutical Preparations Binding Sites
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PDRLGB: precise DNA-binding residue prediction using a light gradient boosting machine.

BMC bioinformatics Dec 31, 2018
BACKGROUND: Identifying specific residues for protein-DNA interactions are of considerable importance to better recognize the binding mechanism of protein-DNA complexes. Despite the fact that many computational DNA-binding residue prediction approach...
Protein Conformation Binding Sites Protein Binding Humans Support Vector Machine Computational Biology Machine Learning DNA Algorithms DNA-Binding Proteins
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Computational prediction of plasma protein binding of cyclic peptides from small molecule experimental data using sparse modeling techniques.

BMC bioinformatics Dec 31, 2018
BACKGROUND: Cyclic peptide-based drug discovery is attracting increasing interest owing to its potential to avoid target protein depletion. In drug discovery, it is important to maintain the biostability of a drug within the proper range. Plasma prot...
Humans Machine Learning Computer Simulation Protein Binding Pharmaceutical Preparations Models, Theoretical Peptides, Cyclic Blood Proteins Small Molecule Libraries
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