- by /u/Embarrassed-Dog8452submitted by /u/Embarrassed-Dog8452 [link] [comments]
- by /u/mindfulywanderingsubmitted by /u/mindfulywandering [link] [comments]
- by /u/Dense_Assist8382submitted by /u/Dense_Assist8382 [link] [comments]
- by /u/amir_valizadehsubmitted by /u/amir_valizadeh [link] [comments]
- by /u/Mindless_Farm3706submitted by /u/Mindless_Farm3706 [link] [comments]
- by /u/Klutzy-Aardvark4361I’m working on a repeatable way to go from “gene list + disease context” → a citation-backed evidence summary (pathways, PPIs, disease associations, druggability). I’m trying to avoid a purely manual process. What’s the most reliable workflow you’ve seen (or use yourself)? Preferred databases/sources What you treat as high-confidence evidence vs “hypothesis” Any standard output format you like (Markdown, JSON, report, etc.) I’m especially interested in how you keep this reproducible when rerunning panels later. submitted by /u/Klutzy-Aardvark4361 [link] [comments]
- by /u/GenomeJugglersubmitted by /u/GenomeJuggler [link] [comments]
- by /u/ozturansubmitted by /u/ozturan [link] [comments]
- by /u/antiugly297Hi all, I am beginning to work on developing polygenic risk scores from a genome wide association study. I am very interested in controlling for different forms of biases in my analyses and am interested in performing a blind analysis. I will be using PRS-CSx (a Python based command line tool) and Plink. Is anyone aware of software that will copy the files generated by these packages and then generate random numbers while keeping some kind of code book or way to reverse the blinding? If not, is anyone familiar with any other quantitative geneticists implementing this strategy? submitted by […]
- by /u/vibeisvibingI recently performed NGS on 60 paired chondrosarcoma and normal tissue samples. My data is structured as follows: Patient1 (chondrosarcoma), Patient1 (normal), Patient2 (chondrosarcoma), Patient2 (normal), … mir1, expression1, expression2, … Each column represents the expression of microRNAs in a specific patient’s sample (tumor or normal). I have already performed DESeq2 analysis and identified around 50 significantly deregulated microRNAs. I would like guidance on the next steps. I have already planned Cox regression analysis for OS (overall survival) and RFS (recurrence-free survival). Are there additional statistical tests I should consider? What other analyses can help narrow down potential biomarker candidates? […]
- by /u/Regular_TailorHi y'all, Is anyone a researcher looking at this gene? SLC46A1 I have a bunch of the uncommon variants in this gene and some issues with systemic folate uptake, but I haven't found any reduction of function studies. submitted by /u/Regular_Tailor [link] [comments]
- by /u/TimeIsATricksubmitted by /u/TimeIsATrick [link] [comments]
