AIMC Topic: RNA-Seq

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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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Uncovering the key dimensions of high-throughput biomolecular data using deep learning.

Nucleic acids research Jun 4, 2020
Recent advances in high-throughput single-cell RNA-seq have enabled us to measure thousands of gene expression levels at single-cell resolution. However, the transcriptomic profiles are high-dimensional and sparse in nature. To address it, a deep lea...
Humans Animals Deep Learning Single-Cell Analysis RNA-Seq Mice Metabolomics Data Compression
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