I will analyze virtual gene knockout results with sctenifoldknk

China

I speak English

Bioinformatics Virtual Knockout Molecular Dynamics RNAseq DTA

I am Daniel Zhang, a bioinformatics researcher in Changsha, China, with a master's degree. I analyze virtual gene knockout results, molecular dynamics trajectories, drug target affinity predictions, s...
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