Code for "Whole brain alignment of spatial transcriptomics between humans and mice with BrainAlign"
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Updated
Oct 4, 2024 - Python
Code for "Whole brain alignment of spatial transcriptomics between humans and mice with BrainAlign"
Cell-type Assignment and Module Extraction based on a heterogeneous graph neural network.
This is the lesson repository for the Workshop on Computational Techniques and Resources for Effective Translational Research in Alzheimer's Disease.
Cross-species integration of single cell RNA-seq data from the primary motor cortex between human, mouse and drosophila using expiMap and SATURN
Adaptive elastic-net sparse PCA for robust cross-species, cross-platform analysis of complex gene expression data in Alzheimer’s disease
This project is a part of BRAIN Initiative Cell Census Network (2017-2022)
Philip Ahmadzada, Perry Moerland: Comparative single-cell analysis of macrophages and macrophage subtypes in atherosclerotic mice and humans
A gene regulation model reveals an ancestral adaptation response to particulate exposure triggered by nanomaterials
Workflow to identify functional cis-regulatory regions for each annotated cell type
Reproducible Python workflow for ortholog-resolved cross-species proteomic analysis of human and mouse dorsal root ganglia (DRG), including differential abundance testing, enrichment analysis, GSEA, and systems-level comparison.
Scan genomes for internally repeated sequences, elements which are repetitive in another species, or high-identity HGT candidate regions between species.
Incorporating Triplet Error for Predicting PPIs using Deep Learning
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