Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
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Jun 18, 2025 - Python
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Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
Reproducible exploration of organic photovoltaic morphology self-assembly using molecular dynamics.
Integration of the `fbpic` PIC code with the `signac` framework.
ThunderBio scRNA-seq pipeline
Slides and notebooks demonstrating signac for PyData Ann Arbor Meetup 2018
Hypothesis-first experiment tracking for agent-driven ML research, wired into Claude Code.
Helper functions and classes for signac-flow projects
scRNA-seq and scATAC-seq utilities
snRNA+snATAC multiome of AD DLPFC microglia — chromVAR motif analysis, WNN integration, peak-to-gene linkage, Monocle3 trajectory | Signac · Seurat · R
Complete scATAC-seq analysis of PBMC data using Signac — QC, TF-IDF normalization, LSI dimensionality reduction, clustering, gene activity scoring and cell type annotation
Slides and demos for the MICDE CNSCCS Symposium, October 15, 2018
scATAC-seq pipeline mapping mucosal immunity and host-microbe crosstalk. Profiles physical chromatin accessibility of Trm cells (Itgae/CD103) and Secretory IgA Plasma cells (Igj) to decode intestinal defense mechanisms.
Reproducible benchmark reranking Signac LinkPeaks candidate peak–gene links from PBMC multiome data, with SCENT validation and explicit promoter-proximity controls.
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