AIMC Topic: Neural Networks, Computer

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[An RNA Scoring Function for Tertiary Structure Prediction Based on Multi-layer Neural Networks].

Molekuliarnaia biologiia Jan 1, 2019
A good scoring function is necessary for ab inito prediction of RNA tertiary structures. In this study, we explored the power of a machine learning based approach as a scoring function. Compared with the traditional scoring functions, the present app...
RNA Neural Networks, Computer Nucleic Acid Conformation Molecular Dynamics Simulation
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Exploring microRNA Regulation of Cancer with Context-Aware Deep Cancer Classifier.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
BACKGROUND: MicroRNAs (miRNAs) are small, non-coding RNA that regulate gene expression through post-transcriptional silencing. Differential expression observed in miRNAs, combined with advancements in deep learning (DL), have the potential to improve...
Neural Networks, Computer Gene Expression Regulation, Neoplastic MicroRNAs Female Molecular Sequence Annotation High-Throughput Nucleotide Sequencing Male Gene Ontology Deep Learning Neoplasms Databases, Nucleic Acid Computational Biology Gene Expression Profiling Humans Sequence Analysis, RNA Diagnosis, Computer-Assisted
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Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
Phylogeography research involving virus spread and tree reconstruction relies on accurate geographic locations of infected hosts. Insufficient level of geographic information in nucleotide sequence repositories such as GenBank motivates the use of na...
Metadata Neural Networks, Computer Databases, Nucleic Acid Computational Biology Phylogeography Natural Language Processing
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DNA Steganalysis Using Deep Recurrent Neural Networks.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
Recent advances in next-generation sequencing technologies have facilitated the use of deoxyribonucleic acid (DNA) as a novel covert channels in steganography. There are various methods that exist in other domains to detect hidden messages in convent...
Computational Biology Sequence Analysis, DNA DNA Information Theory Communications Media Humans Neural Networks, Computer Deep Learning
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Res2s2aM: Deep residual network-based model for identifying functional noncoding SNPs in trait-associated regions.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
Noncoding single nucleotide polymorphisms (SNPs) and their target genes are important components of the heritability of diseases and other polygenic traits. Identifying these SNPs and target genes could potentially reveal new molecular mechanisms and...
Humans Models, Genetic Sequence Analysis, DNA Molecular Sequence Annotation Databases, Nucleic Acid Neural Networks, Computer Genome-Wide Association Study Algorithms Polymorphism, Single Nucleotide Deep Learning Computational Biology
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DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional LSTM.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
Protein domain boundary prediction is usually an early step to understand protein function and structure. Most of the current computational domain boundary prediction methods suffer from low accuracy and limitation in handling multi-domain types, or ...
Databases, Protein Protein Domains Amino Acid Sequence Deep Learning Computational Biology Neural Networks, Computer Algorithms
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Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
The proliferation of healthcare data has brought the opportunities of applying data-driven approaches, such as machine learning methods, to assist diagnosis. Recently, many deep learning methods have been shown with impressive successes in predicting...
Medical Informatics Medical Informatics Computing Medical Informatics Applications Humans Neural Networks, Computer Machine Learning Diagnosis, Computer-Assisted Deep Learning Computational Biology
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The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
Electronic phenotyping is the task of ascertaining whether an individual has a medical condition of interest by analyzing their medical record and is foundational in clinical informatics. Increasingly, electronic phenotyping is performed via supervis...
Humans Neural Networks, Computer Machine Learning Electronic Health Records Deep Learning Computational Biology Algorithms Phenotype Databases, Factual Logistic Models Medical Informatics
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Proteomics Analysis of FLT3-ITD Mutation in Acute Myeloid Leukemia Using Deep Learning Neural Network.

Annals of clinical and laboratory science Jan 1, 2019
Deep Learning can significantly benefit cancer proteomics and genomics. In this study, we attempted to determine a set of critical proteins that were associated with the FLT3-ITD mutation in newly-diagnosed acute myeloid leukemia patients. A Deep Lea...
Proteomics Proteome Blood Proteins Mutation Tandem Repeat Sequences fms-Like Tyrosine Kinase 3 Humans Neural Networks, Computer Leukemia, Myeloid, Acute Deep Learning
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Feasibility of Image Registration for Ultrasound-Guided Prostate Radiotherapy Based on Similarity Measurement by a Convolutional Neural Network.

Technology in cancer research & treatment Jan 1, 2019
PURPOSE: Registration of 3-dimensional ultrasound images poses a challenge for ultrasound-guided radiation therapy of the prostate since ultrasound image content changes significantly with anatomic motion and ultrasound probe position. The purpose of...
Male Ultrasonography Movement Imaging, Three-Dimensional Radiotherapy, Image-Guided Fiducial Markers Humans Prostatic Neoplasms Neural Networks, Computer Feasibility Studies Algorithms Image Interpretation, Computer-Assisted
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