scGRNom: a computational pipeline of integrative multi-omics analyses for predicting cell-type disease genes and regulatory networks

Keyphrases

• Alzheimer's Disease 16%
• Cell-type-specific Gene Expression 16%
• Clinical Phenotype 16%
• Computational pipeline 100%
• Cross-disease 16%
• Disease Genes 16%
• Disease Network 100%
• Disease-specific 16%
• Enrichment Analysis 16%
• Excitatory Neurons 16%
• Gene Regulatory Mechanisms 16%
• Gene Regulatory Network 100%
• Genetic Variants 16%
• Inhibitory Neurons 16%
• Machine Learning Analysis 16%
• Microglia 16%
• Multi-omics 100%
• Multi-omics Analysis 100%
• Network Prediction 100%
• Oligodendrocyte 16%
• Phenotype Prediction 16%
• Regulatory Elements 16%
• Schizophrenia Symptoms 16%
• Transcription Factor 16%

Biochemistry, Genetics and Molecular Biology

• Gene Network 100%
• Gene Regulatory Network 100%
• Genetic Divergence 25%
• Microglia 25%
• Oligodendrocyte 25%
• Regulatory Element 25%
• Regulatory Network 100%
• Tamsulosin 100%
• Transcription Factors 25%