My data is from a non-model organism — how do I analyze it?
There's no built-in path for non-model organisms today; customers have worked around this by mapping their genes to human or another supported organism's orthologs before uploading.
There's no built-in path for non-model organisms today; customers have worked around this by mapping their genes to human or another supported organism's orthologs before uploading.
Limiting the number of differentially expressed genes (DEGs) to 5,000 in iPathwayGuide is a deliberate statistical and practical threshold designed to ensure the integrity of your biological analysis. If thousands of genes are flagged as differentially expressed, nearly every pathway [...]
iSCanGuide's native formats are .h5ad and 10x MTX, so Seurat .rds objects need to be converted first. We recommend anndataR, the scverse-maintained R package, which writes .h5ad directly from a Seurat object without requiring a Python environment — SeuratDisk is [...]
Yes. Untar the archive first, so that each sample sits in its own subdirectory containing that sample's barcodes, features, and matrix files. Then point iSCanGuide at the parent directory holding those subdirectories rather than at an individual sample. All of [...]
A few common causes: non-numeric or missing values in the P-Value or Fold Change columns (for example, a "." or blank cell instead of a number) will cause a failure; make sure every row has a valid numeric value in [...]
It depends on which method produced them. By Cell scores each gene set in each cell. iSCanGuide z-scores every gene within the cell, then compares the genes in your selected set against the genes in all the other sets you [...]
Most analyses in iPathwayGuide complete within 15 minutes, depending on dataset size. If yours has been running noticeably longer, check that you don't have the same report open in more than one browser tab, as that's a known way to [...]
Exported figures are generated at publication-ready resolution, which can look different in size or layout from the on-screen preview. If your download is unexpectedly large, has extra white space, or is missing something visible on screen, that's a known issue [...]
log2(Fold Change) is the standard input, so the Fold Change column should be log2-transformed. iPG can take in raw p-values, and adjusted (multiple-test corrected) p-values, we recommend using adjusted p-values.
Different views in your report can apply different thresholds, gene subsets, or statistical layers, so the same gene or pathway can show slightly different values depending on which chart or tab you're viewing. If numbers disagree in a way that [...]
iPathwayGuide performs pathway and functional impact analysis on bulk gene expression data (RNA-seq, microarray, proteomics). iSCanGuide analyzes single-cell and spatial transcriptomics data. iBioGuide is a free life-science literature search engine. iKnowledgeBase is a curated research database for knowledge-driven discovery. iPathwayGuide [...]
We recommend a list of roughly 1,900–2,500 differentially expressed genes for the most interpretable results, though anything under about 5,000 will work well. Lists that are much smaller or much larger than this range can make pathway impact scores harder [...]
Our knowledgebase contains databases (e.g., gene sets, pathways) for human, mouse, and rat. Scientists who wish to use our platform for a species not on this list, must first map the genes from the organism of interest to the orthologs [...]
If the input data itself was wrong (not just a setting or threshold you'd like to change), contact your Customer Success contact. A manual credit adjustment will be made on a case-by-case basis. There's currently no self-service way to swap [...]
Yes — through the iSCanGuide™ Research Access Grant, qualifying applicants get full platform access at no cost (see our Grant FAQ for eligibility). For iPathwayGuide, contact our team to ask about a trial or sample analysis.