AIMC Topic: Genes, Regulator

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Learning and interpreting the gene regulatory grammar in a deep learning framework.

PLoS computational biology Nov 2, 2020
Deep neural networks (DNNs) have achieved state-of-the-art performance in identifying gene regulatory sequences, but they have provided limited insight into the biology of regulatory elements due to the difficulty of interpreting the complex features...
Neural Networks, Computer Computer Simulation Animals Deep Learning Gene Regulatory Networks Mice Computational Biology Models, Genetic Transcription Factors Databases, Genetic Terminology as Topic Binding Sites Enhancer Elements, Genetic Genes, Regulator
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LogicNet: probabilistic continuous logics in reconstructing gene regulatory networks.

BMC bioinformatics Jul 20, 2020
BACKGROUND: Gene Regulatory Networks (GRNs) have been previously studied by using Boolean/multi-state logics. While the gene expression values are usually scaled into the range [0, 1], these GRN inference methods apply a threshold to discretize the d...
Algorithms Computer Simulation Gene Expression Profiling Gene Regulatory Networks Computational Biology Models, Genetic Escherichia coli Fuzzy Logic Genes, Regulator
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Regulatory genes identification within functional genomics experiments for tissue classification into binary classes via machine learning techniques.

JPMA. The Journal of the Pakistan Medical Association Dec 1, 2020
OBJECTIVE: The aim of this study is to filter out the most informative genes that mainly regulate the target tissue class, increase classification accuracy, reduce the curse of dimensionality, and discard redundant and irrelevant genes.
Humans Machine Learning Algorithms Genomics Support Vector Machine Genes, Regulator
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Prediction of condition-specific regulatory genes using machine learning.

Nucleic acids research Jun 19, 2020
Recent advances in genomic technologies have generated data on large-scale protein-DNA interactions and open chromatin regions for many eukaryotic species. How to identify condition-specific functions of transcription factors using these data has bec...
Machine Learning Gene Expression Profiling Deep Learning Single-Cell Analysis RNA-Seq Gene Regulatory Networks Transcription Factors Datasets as Topic Stress, Physiological Promoter Regions, Genetic Gene Expression Regulation, Plant Genes, Plant Arabidopsis Proteins Arabidopsis Genes, Regulator
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