AIMC Topic: Datasets as Topic

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Predicting regulatory variants using a dense epigenomic mapped CNN model elucidated the molecular basis of trait-tissue associations.

Nucleic acids research Jan 11, 2021
Assessing the causal tissues of human complex diseases is important for the prioritization of trait-associated genetic variants. Yet, the biological underpinnings of trait-associated variants are extremely difficult to infer due to statistical noise ...
Molecular Sequence Annotation Binding Sites Linkage Disequilibrium Genetic Diseases, Inborn Chromatin Immunoprecipitation Causality Epigenome Datasets as Topic Organ Specificity Histone Code Humans Deep Learning Epigenomics Models, Genetic Transcription Factors Genome-Wide Association Study Polymorphism, Single Nucleotide
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Open Targets Platform: supporting systematic drug-target identification and prioritisation.

Nucleic acids research Jan 8, 2021
The Open Targets Platform (https://www.targetvalidation.org/) provides users with a queryable knowledgebase and user interface to aid systematic target identification and prioritisation for drug discovery based upon underlying evidence. It is publicl...
Neoplasms Drug Discovery Antineoplastic Agents Internet Knowledge Bases Humans Software Databases, Factual Datasets as Topic Molecular Targeted Therapy Drugs, Investigational
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FireProtDB: database of manually curated protein stability data.

Nucleic acids research Jan 8, 2021
The majority of naturally occurring proteins have evolved to function under mild conditions inside the living organisms. One of the critical obstacles for the use of proteins in biotechnological applications is their insufficient stability at elevate...
Models, Molecular Internet Software Protein Stability Molecular Sequence Annotation Machine Learning Computational Biology Datasets as Topic Point Mutation Proteins Databases, Protein
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m6A-Atlas: a comprehensive knowledgebase for unraveling the N6-methyladenosine (m6A) epitranscriptome.

Nucleic acids research Jan 8, 2021
N 6-Methyladenosine (m6A) is the most prevalent RNA modification on mRNAs and lncRNAs. It plays a pivotal role during various biological processes and disease pathogenesis. We present here a comprehensive knowledgebase, m6A-Atlas, for unraveling the ...
MicroRNAs RNA, Long Noncoding Dengue Virus HIV Zebrafish Transcriptome Mice RNA, Messenger Rats Herpesvirus 8, Human Adenosine Atlases as Topic Arabidopsis Pan troglodytes Knowledge Bases Datasets as Topic Saccharomyces cerevisiae Drosophila melanogaster Humans Animals Swine
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Epistasis Analysis: Classification Through Machine Learning Methods.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
Complex disease is different from Mendelian disorders. Its development usually involves the interaction of multiple genes or the interaction between genes and the environment (i.e. epistasis). Although the high-throughput sequencing technologies for ...
Multifactor Dimensionality Reduction Machine Learning Humans Multifactorial Inheritance Software Computational Biology Polymorphism, Single Nucleotide Models, Genetic Datasets as Topic Epistasis, Genetic
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Epistasis Detection Based on Epi-GTBN.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
Epistasis detection is a hot topic in bioinformatics due to its relevance to the detection of specific phenotypic traits and gene-gene interactions. Here, we present a step-by-step protocol to apply Epi-GTBN, a machine learning-based method based on ...
Datasets as Topic Epistasis, Genetic Humans Machine Learning Genotype Models, Genetic Bayes Theorem Genetic Loci Data Mining Software Phenotype Gene Regulatory Networks Polymorphism, Single Nucleotide
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A Belief Degree-Associated Fuzzy Multifactor Dimensionality Reduction Framework for Epistasis Detection.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
Epistasis is a challenge in prediction, classification, and suspicion of human genetic diseases. Many technologies, methods, and tools have been developed for epistasis detection. Multifactor dimensionality reduction (MDR) is the method commonly used...
Fuzzy Logic Coronary Artery Disease Datasets as Topic Epistasis, Genetic Multifactorial Inheritance Uncertainty Multifactor Dimensionality Reduction Algorithms Polymorphism, Single Nucleotide Models, Genetic Databases, Genetic Humans Software
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Deep Neural Networks for Epistatic Sequence Analysis.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
We report a step-by-step protocol to use pysster, a TensorFlow-based package for building deep neural networks on a broad range of epistatic sequences such as DNA, RNA, or annotated secondary structure sequences. Pysster provides users comprehensive ...
Humans Datasets as Topic Epistasis, Genetic Deep Learning Software Sequence Analysis Base Sequence ROC Curve RNA Editing Models, Genetic RNA
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Ten computer codes that transformed science.

Nature Jan 1, 2021
National Institutes of Health (U.S.) Preprints as Topic History, 20th Century Databases, Nucleic Acid Fourier Analysis Physics Programming Languages Datasets as Topic History, 21st Century National Library of Medicine (U.S.) Neural Networks, Computer United States Algorithms Databases, Protein Databases, Factual Weather Time Factors Deep Learning Computational Biology
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Adversarial attack on deep learning-based dermatoscopic image recognition systems: Risk of misdiagnosis due to undetectable image perturbations.

Medicine Dec 11, 2020
Deep learning algorithms have shown excellent performances in the field of medical image recognition, and practical applications have been made in several medical domains. Little is known about the feasibility and impact of an undetectable adversaria...
Models, Statistical Skin Skin Diseases Image Interpretation, Computer-Assisted Datasets as Topic Humans Risk Factors Neural Networks, Computer Sensitivity and Specificity Algorithms Diagnostic Errors Reproducibility of Results Deep Learning
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