focusing on gene regulatory networks and scRNA-seq trajectory analysis over time series to decode cellular differentiation.
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Updated
Jan 27, 2025 - R
focusing on gene regulatory networks and scRNA-seq trajectory analysis over time series to decode cellular differentiation.
Single-cell RNA-seq analysis of lung cancer (NSCLC) using Seurat, SingleR, and Monocle3. Includes QC, clustering, marker identification, pathway enrichment, and pseudotime analysis.
Transcriptional and epigenetic signature of muscle tissue cells linked to atrophy
Single-cell analysis of EMT and tumor-microenvironment signaling in gastric cancer with lncRNA prioritization and TCGA-STAD validation.
snRNA+snATAC multiome of AD DLPFC microglia — chromVAR motif analysis, WNN integration, peak-to-gene linkage, Monocle3 trajectory | Signac · Seurat · R
Introduction to Trajectory Analysis with Monocle3
CITE-seq WNN integration (RNA+ADT, Seurat) + Monocle3 pseudotime, with a documented dependency-resolution trail
Single-cell RNA-seq analysis of mesenchymal progenitors and fibroblasts during axolotl limb regeneration using Seurat and Monocle3.
Accelerate linear attention with CUDA kernels for GLA, KDA, GDN, and Lightning Attention on NVIDIA Hopper and Blackwell GPUs
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