AIMC Topic: Transcriptome

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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 ...
Dengue Virus HIV Zebrafish Knowledge Bases RNA, Messenger Rats MicroRNAs RNA, Long Noncoding Adenosine Atlases as Topic Arabidopsis Pan troglodytes Datasets as Topic Saccharomyces cerevisiae Drosophila melanogaster Herpesvirus 8, Human Animals Swine Transcriptome Mice Humans
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Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning.

Nucleic acids research Nov 18, 2020
High-content imaging and single-cell genomics are two of the most prominent high-throughput technologies for studying cellular properties and functions at scale. Recent studies have demonstrated that information in large imaging datasets can be used ...
Humans Male Gene Expression Profiling Transcriptome Single-Cell Analysis Neural Networks, Computer Machine Learning Female Animals Gene Expression Regulation Fetal Blood Databases, Genetic Myeloid Progenitor Cells Mice, Inbred C57BL Flow Cytometry High-Throughput Nucleotide Sequencing Image Processing, Computer-Assisted Mice Computational Biology Monocytes
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Prediction of survival rate and effect of drugs on cancer patients with somatic mutations of genes: An AI-based approach.

Chemical biology & drug design Sep 1, 2020
The causal role of somatic mutation and its interrelationship with gene expression profile during tumor development has already been observed, which plays a major role to decide the cancer grades and overall survival. Accurate and robust prediction o...
Cohort Studies Polymorphism, Single Nucleotide Mutation Survival Rate Neoplasms Antineoplastic Agents Transcriptome Humans Machine Learning
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Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks.

Journal of the American Medical Informatics Association : JAMIA May 1, 2020
OBJECTIVE: Non-small cell lung cancer is a leading cause of cancer death worldwide, and histopathological evaluation plays the primary role in its diagnosis. However, the morphological patterns associated with the molecular subtypes have not been sys...
Carcinoma, Squamous Cell Transcriptome ROC Curve Lung Neoplasms Carcinoma, Non-Small-Cell Lung Adenocarcinoma of Lung Humans Neural Networks, Computer Machine Learning
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Ultra-gentle soft robotic fingers induce minimal transcriptomic response in a fragile marine animal.

Current biology : CB Feb 24, 2020
Tessler et al. demonstrate that a 'soft' robot causes less stress to a jellyfish while handling compared to a traditional 'hard' robot.
Marine Biology Robotics Stress, Physiological Specimen Handling Scyphozoa Animals Transcriptome
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Omics Data and Artificial Intelligence: New Challenges for Gene Therapy.

Current gene therapy Jan 1, 2020
Algorithms Transcriptome Proteome Metabolome Genetic Therapy Genome Metagenome Humans Artificial Intelligence
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A Machine Learning Approach to Identify a Circulating MicroRNA Signature for Alzheimer Disease.

The journal of applied laboratory medicine Jan 1, 2020
BACKGROUND: Accurate diagnosis of Alzheimer disease (AD) involving less invasive molecular procedures and at reasonable cost is an unmet medical need. We identified a serum miRNA signature for AD that is less invasive than a measure in cerebrospinal ...
Humans Transcriptome Cognitive Dysfunction Autopsy Alzheimer Disease Early Diagnosis Circulating MicroRNA Machine Learning Aged Brain Sensitivity and Specificity Female Male Reproducibility of Results Gene Expression Profiling
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A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.

European heart journal Nov 14, 2019
BACKGROUND: Coronary inflammation induces dynamic changes in the balance between water and lipid content in perivascular adipose tissue (PVAT), as captured by perivascular Fat Attenuation Index (FAI) in standard coronary CT angiography (CCTA). Howeve...
Plaque, Atherosclerotic Computed Tomography Angiography Follow-Up Studies Adipose Tissue Coronary Artery Disease Genetic Markers Humans Machine Learning Algorithms Phenotype Risk Assessment Female Gene Expression Profiling Aged Transcriptome Male Case-Control Studies Middle Aged
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Uncovering the mouse olfactory long non-coding transcriptome with a novel machine-learning model.

DNA research : an international journal for rapid publication of reports on genes and genomes Aug 1, 2019
Very little is known about long non-coding RNAs (lncRNAs) in the mammalian olfactory sensory epithelia. Deciphering the non-coding transcriptome in olfaction is relevant because these RNAs have been shown to play a role in chromatin modification and ...
Machine Learning Mice Female RNA, Long Noncoding Animals Olfactory Receptor Neurons Male Vomeronasal Organ Transcriptome
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Convolutional neural network approach to lung cancer classification integrating protein interaction network and gene expression profiles.

Journal of bioinformatics and computational biology Jun 1, 2019
Deep learning technologies are permeating every field from image and speech recognition to computational and systems biology. However, the application of convolutional neural networks (CCNs) to "omics" data poses some difficulties, such as the proces...
Reproducibility of Results Humans Transcriptome Neural Networks, Computer Machine Learning Support Vector Machine Protein Interaction Maps Algorithms Lung Neoplasms Cluster Analysis Random Allocation
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