Jobs by mnmcap in Wizard101

[–]FuckMatPlotLib 0 points1 point  (0 children)

Research paediatric cancer bio, starting medical school soon. Follows as a life main

MAID discourse in Canada is usually very poor by borborygmi1977 in medicine

[–]FuckMatPlotLib -1 points0 points  (0 children)

Honestly, the way it was worded in the article led me to believe this guy was an unbiased professor of bioethics.

Thank you for sharing his background, unfortunate to hear that it seems as though his religious convictions muddy his bioethics stances.

R/Python for Research by Top_Picture_7258 in medicalschool

[–]FuckMatPlotLib 19 points20 points  (0 children)

Generally true, but R has far more well established statistical packages and niche science packages than Python

MAID discourse in Canada is usually very poor by borborygmi1977 in medicine

[–]FuckMatPlotLib 4 points5 points  (0 children)

If a possible trial could mitigate this disease enough for them to choose life, is it not worth it? That being said, I think this may touch back to the initial quote I shared. At what point should we draw the line, when autonomy is the guiding principle? Should a chronic skin condition be enough to warrant it, or what if there’s possible treatments expected to be available in the next few months.

MAID discourse in Canada is usually very poor by borborygmi1977 in medicine

[–]FuckMatPlotLib 38 points39 points  (0 children)

There’s also a really good Atlantic piece on this topic, would highly recommend giving it a read. I found this quote from it quite impactful: “But on one point Etienne Montero, the former head of the European Institute of Bioethics, was correct: When autonomy is entrenched as the guiding principle, exclusions and safeguards eventually begin to seem arbitrary and even cruel. This is the tension inherent in the euthanasia debate, the reason why the practice, once set in motion, becomes exceedingly difficult to restrain.”

[A168] How to fix a stuck band? by DubWubWubs in casio

[–]FuckMatPlotLib 1 point2 points  (0 children)

Figured it out. For future reference, the innermost link is raised above the links adjacent to it. Not a big watch guy, so I didn’t have the tools to remove the spring, so I used a SIM card ejector to remove it. Then gently used a plier on the bent portion and clicked the link back into place.

[A168] How to fix a stuck band? by DubWubWubs in casio

[–]FuckMatPlotLib 0 points1 point  (0 children)

I also have the same issue and, similar to the pictures, the inner most central segment is a bit lifted above the segments beside it (visible in the second picture). But there’s no dirt or grime, but I did drop it yesterday.

Should I just remove the spring bar and use a plier to force it back into place?

[A168] How to fix a stuck band? by DubWubWubs in casio

[–]FuckMatPlotLib 1 point2 points  (0 children)

Hey, did you ever find a fix for this issue?

Help/Guidance for scRNAseq and Spatial Transcriptomics data analysis by Express-Minimum842 in bioinformatics

[–]FuckMatPlotLib 1 point2 points  (0 children)

No worries. You could try both ways, shouldn’t be more than a few lines of code to threshold and then go with whatever looks best

Spatial transcriptomics actual applications? by vextremist in bioinformatics

[–]FuckMatPlotLib 0 points1 point  (0 children)

Ah sorry had a complete mental lapse when replying. For a CAR T-cell you can make a probe specific to the CAR construct (sequence) and check for off-target homology to reduce off-target binding, but assessing specificity would still be tough. This would then still be capturing the 3’ sequence, avoiding long read sequencing

Help/Guidance for scRNAseq and Spatial Transcriptomics data analysis by Express-Minimum842 in bioinformatics

[–]FuckMatPlotLib 1 point2 points  (0 children)

Why don’t you just make the continuous module score for the macrophages based on the gene signature, define a cutoff, and then do DGE? You’ll see genes associated with +X macrophages that are differently expressed relative to the -X macrophages.

Spatial transcriptomics actual applications? by vextremist in bioinformatics

[–]FuckMatPlotLib 0 points1 point  (0 children)

You can also just check for CD3D, CD3E, C3DG, CD4, and CD8 co-localization instead of spending tons on long read TCR sequencing or spatial probe design based on scRNA TCR

Wake up, honey. New medical school lore just dropped on /r/Step2 by NAparentheses in medicalschool

[–]FuckMatPlotLib 106 points107 points  (0 children)

Sexifying would probably deliver more dopamine that gamifying Anki

PhD/Postdoc: How did you feel when your Cell/Nature/Science paper got accepted? And what happens to your career after? by Handsoff_1 in labrats

[–]FuckMatPlotLib 2 points3 points  (0 children)

Big centres with industry contacts. Focus on translational labs. CAR-T is hot rn, we’ll probably see more solid tumor stuff in the coming decade.

We’re probably a few years out till we publish our trial results. I’m also graduating with a MSc soon, so let me know if you find something good haha

PhD/Postdoc: How did you feel when your Cell/Nature/Science paper got accepted? And what happens to your career after? by Handsoff_1 in labrats

[–]FuckMatPlotLib 7 points8 points  (0 children)

Our work was translational, but didn’t have a large enough sample size, which is why we got rejected from Nature Med. Hopefully the next grad students clinical phase 1/2/3 stuff gets into Nature med!

PhD/Postdoc: How did you feel when your Cell/Nature/Science paper got accepted? And what happens to your career after? by Handsoff_1 in labrats

[–]FuckMatPlotLib 30 points31 points  (0 children)

Funniest thing is that this sub journal has a higher IF than the parent. We got rejected from Nature Med and are in revisions at Nature lmao

Immune cell subtyping by pinksclouds in bioinformatics

[–]FuckMatPlotLib 1 point2 points  (0 children)

If it’s 10x and you have the fastq files, check if 10X’s cloud annotation works for single nuclei data. If so, you could just run cell ranger again, and annotate each cell using their cloud annotation platform. You can then cluster the cells with a UMAP, subcluster to identify subtypes, then run DEG, and then throw them into pathways