I will analyze virtual gene knockout results with sctenifoldknk
Bioinformatics Virtual Knockout Molecular Dynamics RNAseq DTA
About this Gig
I analyze existing scTenifoldKnk outputs and organize virtual gene-knockout results around your target gene and cell type.
The Basic package covers one target and one cell type using your existing response or network files. I check identifiers, summarize differential-regulation results and create clear plots and editable tables. Comparisons across supplied seeds can be included when agreed before ordering.
You receive result tables, figures, the analysis script and a README recording the inputs and settings. One revision is included for the agreed analysis.
Please send your target gene, cell-type labels, existing output files and the question you want answered. For enrichment, supply the tested genes and background gene list.
If you only have a GEO accession or a Seurat object, message me first: network construction and raw-data processing need a separate scope. I use AI-assisted coding where appropriate and check the code and outputs. Written communication is welcome.
Technology:
Other
Analysis Type:
Quantitative Analysis
•
Statistical Analysis
Expertise:
Algorithms
•
Statistics
Programming language:
R
Tools:
RStudio
