AIMC Topic: Mice

Clear Filters Showing 741 to 750 of 1513 articles

Prediction of drug efficacy from transcriptional profiles with deep learning.

Nature biotechnology Jun 17, 2021
Drug discovery focused on target proteins has been a successful strategy, but many diseases and biological processes lack obvious targets to enable such approaches. Here, to overcome this challenge, we describe a deep learning-based efficacy predicti...
Deep Learning Animals Drug Discovery Mice Transcriptome Proteins Drug Repositioning
View on PubMed DOI

Multi-View Mouse Social Behaviour Recognition With Deep Graphic Model.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jun 11, 2021
Home-cage social behaviour analysis of mice is an invaluable tool to assess therapeutic efficacy of neurodegenerative diseases. Despite tremendous efforts made within the research community, single-camera video recordings are mainly used for such ana...
Social Behavior Humans Mice, Inbred C57BL Female Video Recording Deep Learning Parkinsonian Disorders Animals Image Processing, Computer-Assisted Behavior, Animal Mice
View on PubMed DOI

Automated scoring of pre-REM sleep in mice with deep learning.

Scientific reports Jun 10, 2021
Reliable automation of the labor-intensive manual task of scoring animal sleep can facilitate the analysis of long-term sleep studies. In recent years, deep-learning-based systems, which learn optimal features from the data, increased scoring accurac...
Sleep, REM Algorithms Animals Deep Learning Mice Models, Theoretical Sleep Polysomnography Sleep Stages
View on PubMed DOI

A deep learning approach to identify gene targets of a therapeutic for human splicing disorders.

Nature communications Jun 7, 2021
Pre-mRNA splicing is a key controller of human gene expression. Disturbances in splicing due to mutation lead to dysregulated protein expression and contribute to a substantial fraction of human disease. Several classes of splicing modulator compound...
MutL Protein Homolog 1 Gene Targeting Cystic Fibrosis Transmembrane Conductance Regulator RNA Splicing Exons Mutation Phenethylamines HEK293 Cells tau Proteins Sterol Esterase Pyridazines Mice, Transgenic Transcriptome Deep Learning Humans Mice Animals Computational Biology
View on PubMed DOI

Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network.

Nature communications Jun 2, 2021
Using the Cap Analysis of Gene Expression (CAGE) technology, the FANTOM5 consortium provided one of the most comprehensive maps of transcription start sites (TSSs) in several species. Strikingly, ~72% of them could not be assigned to a specific gene ...
Humans Neural Networks, Computer A549 Cells Neurodegenerative Diseases High-Throughput Nucleotide Sequencing Base Sequence Animals Deep Learning Mice Computational Biology Genome, Human Enhancer Elements, Genetic Polymorphism, Genetic Microsatellite Repeats Promoter Regions, Genetic Transcription Initiation Site Transcription Initiation, Genetic
View on PubMed DOI

coupleCoC+: An information-theoretic co-clustering-based transfer learning framework for the integrative analysis of single-cell genomic data.

PLoS computational biology Jun 2, 2021
Technological advances have enabled us to profile multiple molecular layers at unprecedented single-cell resolution and the available datasets from multiple samples or domains are growing. These datasets, including scRNA-seq data, scATAC-seq data and...
Animals Dendritic Cells Single-Cell Analysis RNA-Seq Humans Mice Cerebral Cortex Machine Learning Genomics Databases, Nucleic Acid Software Computational Biology Information Theory Cluster Analysis RNA, Small Cytoplasmic
View on PubMed DOI

Interpretable deep learning uncovers cellular properties in label-free live cell images that are predictive of highly metastatic melanoma.

Cell systems Jun 1, 2021
Deep learning has emerged as the technique of choice for identifying hidden patterns in cell imaging data but is often criticized as "black box." Here, we employ a generative neural network in combination with supervised machine learning to classify ...
Humans Neural Networks, Computer Artificial Intelligence Melanoma Animals Deep Learning Mice
View on PubMed DOI

EDLmAPred: ensemble deep learning approach for mRNA mA site prediction.

BMC bioinformatics May 29, 2021
BACKGROUND: As a common and abundant RNA methylation modification, N6-methyladenosine (mA) is widely spread in various species' transcriptomes, and it is closely related to the occurrence and development of various life processes and diseases. Thus, ...
Adenosine Mice RNA, Messenger RNA Methylation Animals Deep Learning
View on PubMed DOI

i4mC-EL: Identifying DNA N4-Methylcytosine Sites in the Mouse Genome Using Ensemble Learning.

BioMed research international May 29, 2021
As one of important epigenetic modifications, DNA N4-methylcytosine (4mC) plays a crucial role in controlling gene replication, expression, cell cycle, DNA replication, and differentiation. The accurate identification of 4mC sites is necessary to und...
Cytosine Base Sequence Genome Epigenesis, Genetic Animals Machine Learning Genetic Techniques DNA Methylation DNA ROC Curve Algorithms Area Under Curve Bayes Theorem Mice Reproducibility of Results Internet Computational Biology Data Mining
View on PubMed DOI

A deep learning algorithm for 3D cell detection in whole mouse brain image datasets.

PLoS computational biology May 28, 2021
Understanding the function of the nervous system necessitates mapping the spatial distributions of its constituent cells defined by function, anatomy or gene expression. Recently, developments in tissue preparation and microscopy allow cellular popul...
Algorithms Brain Animals Deep Learning Mice Datasets as Topic
View on PubMed DOI
Popular Topics
Recent Journals