AIMC Topic: Datasets as Topic

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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...
Protein Binding Molecular Structure Datasets as Topic Molecular Docking Simulation Drug Discovery User-Computer Interface Machine Learning
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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 Computational Biology Machine Learning RNA, Small Interfering Principal Component Analysis Algorithms Datasets as Topic Genetic Predisposition to Disease
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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...
Humans Artificial Intelligence Algorithms Retrospective Studies Area Under Curve Retina Macular Degeneration Blockchain Datasets as Topic Proof of Concept Study Deep Learning Cohort Studies Reproducibility of Results ROC Curve Biomedical Research Myopia
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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, ...
Sequence Analysis, RNA Databases, Genetic RNA Animals Transcriptome RNA-Binding Proteins Datasets as Topic Gene Expression Regulation Adenosine Machine Learning Software Humans
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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...
Datasets as Topic Humans Gene Expression Regulation Atlases as Topic Nasal Cavity Microbiota Cluster Analysis Transcriptome Asthma Allergens Unsupervised Machine Learning Precision Medicine Case-Control Studies Male Epigenome Benchmarking Female Adolescent Middle Aged Feces Child, Preschool Adult Proteomics Child Gene Expression Profiling
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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...
Female Deep Learning Metabolomics Humans Datasets as Topic Pregnancy
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Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework.

Briefings in bioinformatics Mar 22, 2021
Promoters are short consensus sequences of DNA, which are responsible for transcription activation or the repression of all genes. There are many types of promoters in bacteria with important roles in initiating gene transcription. Therefore, solving...
Genes, Bacterial Datasets as Topic Promoter Regions, Genetic Machine Learning Reproducibility of Results Escherichia coli
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Importance-aware personalized learning for early risk prediction using static and dynamic health data.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Accurate risk prediction is important for evaluating early medical treatment effects and improving health care quality. Existing methods are usually designed for dynamic medical data, which require long-term observations. Meanwhile, import...
Models, Theoretical Humans Prognosis Data Mining Neural Networks, Computer Datasets as Topic Risk Assessment Precision Medicine Deep Learning Peptic Ulcer Hemorrhage
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The risk of racial bias while tracking influenza-related content on social media using machine learning.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Machine learning is used to understand and track influenza-related content on social media. Because these systems are used at scale, they have the potential to adversely impact the people they are built to help. In this study, we explore t...
Influenza Vaccines Datasets as Topic Black or African American Support Vector Machine Social Media Racism Neural Networks, Computer Humans Influenza, Human Machine Learning
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