AIMC Topic: Datasets as Topic

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Pretraining model for biological sequence data.

Briefings in functional genomics Jun 9, 2021
With the development of high-throughput sequencing technology, biological sequence data reflecting life information becomes increasingly accessible. Particularly on the background of the COVID-19 pandemic, biological sequence data play an important r...
Humans Software Algorithms Natural Language Processing Data Mining High-Throughput Nucleotide Sequencing Deep Learning Datasets as Topic Computational Biology Models, Theoretical
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Synthetic data in machine learning for medicine and healthcare.

Nature biomedical engineering Jun 1, 2021
The proliferation of synthetic data in artificial intelligence for medicine and healthcare raises concerns about the vulnerabilities of the software and the challenges of current policy.
Information Theory Synthetic Biology Kidney Neoplasms Carcinoma, Renal Cell Machine Learning Delivery of Health Care Diagnosis, Computer-Assisted Image Interpretation, Computer-Assisted Datasets as Topic Diagnostic Imaging Quality Control Humans
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TERL: classification of transposable elements by convolutional neural networks.

Briefings in bioinformatics May 20, 2021
Transposable elements (TEs) are the most represented sequences occurring in eukaryotic genomes. Few methods provide the classification of these sequences into deeper levels, such as superfamily level, which could provide useful and detailed informati...
Datasets as Topic DNA Transposable Elements Neural Networks, Computer
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Beware of the generic machine learning-based scoring functions in structure-based virtual screening.

Briefings in bioinformatics May 20, 2021
Machine learning-based scoring functions (MLSFs) have attracted extensive attention recently and are expected to be potential rescoring tools for structure-based virtual screening (SBVS). However, a major concern nowadays is whether MLSFs trained for...
Machine Learning Molecular Docking Simulation Drug Discovery Datasets as Topic User-Computer Interface Protein Binding Molecular Structure
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iPiDi-PUL: identifying Piwi-interacting RNA-disease associations based on positive unlabeled learning.

Briefings in bioinformatics May 20, 2021
Accumulated researches have revealed that Piwi-interacting RNAs (piRNAs) are regulating the development of germ and stem cells, and they are closely associated with the progression of many diseases. As the number of the detected piRNAs is increasing ...
Humans RNA, Small Interfering Datasets as Topic Genetic Predisposition to Disease Computational Biology Machine Learning Principal Component Analysis Algorithms
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Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study.

The Lancet. Digital health May 1, 2021
BACKGROUND: By 2050, almost 5 billion people globally are projected to have myopia, of whom 20% are likely to have high myopia with clinically significant risk of sight-threatening complications such as myopic macular degeneration. These are diagnose...
Myopia Retrospective Studies Humans Reproducibility of Results Deep Learning Artificial Intelligence Biomedical Research Cohort Studies Retina Algorithms Datasets as Topic Macular Degeneration ROC Curve Proof of Concept Study Area Under Curve Blockchain
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Modeling multi-species RNA modification through multi-task curriculum learning.

Nucleic acids research Apr 19, 2021
N6-methyladenosine (m6A) is the most pervasive modification in eukaryotic mRNAs. Numerous biological processes are regulated by this critical post-transcriptional mark, such as gene expression, RNA stability, RNA structure and translation. Recently, ...
Humans Machine Learning RNA Datasets as Topic Gene Expression Regulation RNA-Binding Proteins Adenosine Sequence Analysis, RNA Databases, Genetic Software Animals Transcriptome
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Merged Affinity Network Association Clustering: Joint multi-omic/clinical clustering to identify disease endotypes.

Cell reports Apr 13, 2021
Although clinical and laboratory data have long been used to guide medical practice, this information is rarely integrated with multi-omic data to identify endotypes. We present Merged Affinity Network Association Clustering (MANAclust), a coding-fre...
Epigenome Datasets as Topic Gene Expression Regulation Atlases as Topic Nasal Cavity Benchmarking Microbiota Allergens Proteomics Cluster Analysis Unsupervised Machine Learning Asthma Male Middle Aged Precision Medicine Female Adult Adolescent Child, Preschool Child Feces Humans Gene Expression Profiling Transcriptome Case-Control Studies
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Applying artificial intelligence in the microbiome for gastrointestinal diseases: A review.

Journal of gastroenterology and hepatology Apr 1, 2021
For a long time, gut bacteria have been recognized for their important roles in the occurrence and progression of gastrointestinal diseases like colorectal cancer, and the ever-increasing amounts of microbiome data combined with other high-quality cl...
Artificial Intelligence Big Data Gastrointestinal Microbiome Gastrointestinal Diseases Datasets as Topic Information Storage and Retrieval
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Deep learning meets metabolomics: a methodological perspective.

Briefings in bioinformatics Mar 22, 2021
Deep learning (DL), an emerging area of investigation in the fields of machine learning and artificial intelligence, has markedly advanced over the past years. DL techniques are being applied to assist medical professionals and researchers in improvi...
Deep Learning Metabolomics Humans Datasets as Topic Pregnancy Female
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