scientific-computing
943
bulk-rna-seq-deseq2-analysis-with-omicverse
PyDESeq2 differential expression: ID mapping, DE testing, fold-change thresholding, and GSEA enrichment visualization in OmicVerse.
Starlitnightly
research
sorting
stars
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scientific-computing
943
bulk-rna-seq-differential-expression-with-omicverse
Bulk RNA-seq DEG pipeline: gene ID mapping, DESeq2 normalization, statistical testing, volcano plots, and pathway enrichment in OmicVerse.
Starlitnightly
research
scientific-computing
943
bulk-rna-seq-batch-correction-with-combat
Bulk RNA-seq batch correction with pyComBat: remove batch effects from merged cohorts, export corrected matrices, and benchmark visualizations.
Starlitnightly
research
scientific-computing
943
single-cell-downstream-analysis
AUCell pathway scoring, metacell DEG, scDrug response, SCENIC regulons, cNMF programs, and NOCD community detection in OmicVerse.
Starlitnightly
research
bioinformatics
943
bulktrajblend-trajectory-interpolation
Extend scRNA-seq developmental trajectories with BulkTrajBlend by generating intermediate cells from bulk RNA-seq, training beta-VAE and GNN models, and interpolating missing states.
Starlitnightly
research
scientific-computing
943
spatial-transcriptomics-tutorials-with-omicverse
Spatial transcriptomics: Visium/HD, Stereo-seq, Slide-seq preprocessing (crop, rotate, cellpose), deconvolution (Tangram, cell2location, Starfysh), clustering (GraphST, STAGATE), integration, trajectory, communication.
Starlitnightly
research
bioinformatics
943
gsea-enrichment-analysis
Gene set enrichment analysis with correct geneset format handling. Critical guidance for loading pathway databases and running enrichment in OmicVerse.
Starlitnightly
research
scientific-computing
943
single-cell-multi-omics-integration
Multi-omics integration: MOFA factor analysis, GLUE unpaired alignment, SIMBA batch correction, TOSICA label transfer, StaVIA trajectory. Covers scRNA+scATAC paired/unpaired workflows.
Starlitnightly
research
scientific-computing
943
single-cell-preprocessing-with-omicverse
Single-cell QC, normalization, HVG detection, PCA, neighbor graph, UMAP/tSNE embedding pipelines in OmicVerse (CPU/GPU).
Starlitnightly
research
scientific-computing
943
string-protein-interaction-analysis-with-omicverse
STRING protein-protein interaction network analysis with pyPPI: query STRING database, build PPI graphs, expand with add_nodes, and visualize styled networks for bulk gene lists.
Starlitnightly
research
scientific-computing
943
bulk-rna-seq-deconvolution-with-bulk2single
Turn bulk RNA-seq cohorts into synthetic single-cell datasets using omicverse's Bulk2Single workflow for cell fraction estimation, beta-VAE generation, and quality control comparisons against reference scRNA-seq.
Starlitnightly
research
scientific-computing
943
single-trajectory-analysis
Trajectory & RNA velocity: PAGA, Palantir, VIA, dynamo, scVelo, latentvelo, graphvelo backends via ov.single.Velo. Pseudotime, stream plots.
Starlitnightly
research
scientific-computing
943
single-cell-clustering-and-batch-correction-with-omicverse
Single-cell clustering (Leiden, Louvain, scICE, GMM), batch correction (Harmony, scVI, BBKNN, Combat), topic modeling, and cNMF in OmicVerse.
Starlitnightly
research
scientific-computing
943
tcga-bulk-data-preprocessing-with-omicverse
TCGA bulk RNA-seq preprocessing with pyTCGA: GDC sample sheets, expression archives, clinical metadata, Kaplan-Meier survival analysis, and annotated AnnData export.
Starlitnightly
research
scientific-computing
943
single-cell-annotation-skills-with-omicverse
Cell type annotation: SCSA, MetaTiME, CellVote consensus, CellMatch, GPTAnno, weighted KNN label transfer in OmicVerse.
Starlitnightly
research
bioinformatics
943
single2spatial-spatial-mapping
Map scRNA-seq atlases onto spatial transcriptomics slides using omicverse's Single2Spatial workflow for deep-forest training, spot-level assessment, and marker visualisation.
Starlitnightly
research
bioinformatics
943
bulk-wgcna-analysis-with-omicverse
WGCNA co-expression network: soft-threshold, module detection, eigengenes, hub genes, and trait correlation in OmicVerse.
Starlitnightly
research
scientific-computing
943
single-cell-cellphonedb-communication-mapping
CellPhoneDB v5 ligand-receptor analysis, CellChatViz plots, and the newer ccc_heatmap / ccc_network_plot / ccc_stat_plot communication visualizations in OmicVerse.
Starlitnightly
research
bioinformatics
943
biocontext-knowledge-queries
BioContext knowledge: UniProt, AlphaFold, STRING, Reactome, GO, PanglaoDB, PubMed, OpenTargets queries via ov.biocontext for gene annotation.
Starlitnightly
research
bioinformatics
943
foundation-model-analysis
Foundation model workflows: scGPT, Geneformer, UCE, CellPLM cell embedding, annotation, integration via ov.fm unified API. 22 models.
Starlitnightly
research
bioinformatics
943
fastq-analysis-pipeline
Guide through omicverse's alignment module for SRA downloading, FASTQ quality control, STAR alignment, gene quantification, and single-cell kallisto/bustools pipelines covering both bulk and single-cell RNA-seq workflows.
Starlitnightly
research
scientific-computing
943
datasets-loading
OmicVerse built-in datasets: pbmc3k, pancreas, dentategyrus, zebrafish, immune, spatial, multiome, plus create_mock_dataset() and predefined_signatures GMT gene sets.
Starlitnightly
research
lab-tools
923
agentsociety-analysis
Analyze experiment data and generate analysis reports.
tsinghua-fib-lab
research