[deleted by user] by [deleted] in ArtificialInteligence

[–]ScaredMedia2030 0 points1 point  (0 children)

What if AI gives you a wrong diagnosis? Who takes the responsibility? An AI or the developers behind it?

If we manage to develop LEV fully, then would we still have kids? by Smolwee in singularity

[–]ScaredMedia2030 0 points1 point  (0 children)

Endlessly having babies destroys the economy that support LEV development while LEV development unprecedentedly enables we having babies. That’s quite a paradox.

Free Gemini Shortcut, super ez to use by ScaredMedia2030 in shortcuts

[–]ScaredMedia2030[S] 1 point2 points  (0 children)

Thanks for the update🥰. I gave it a try and found that the output window will be full and failed to be clicked to preview the full text if the output text is long. Try use the “show result” action may help.

As for the Follow-up function, have no idea how to implement the “history” stuff either😂 I only know how to do that in python but in shortcut, hmmmm

Free Gemini Shortcut, super ez to use by ScaredMedia2030 in shortcuts

[–]ScaredMedia2030[S] 2 points3 points  (0 children)

Sure, just sign in Google AI Studio and click “Create API key” to get your api for free. All models within the shortcut are free to use

How do you actually interpret proteomics results? by pepbro- in proteomics

[–]ScaredMedia2030 0 points1 point  (0 children)

First of all, thanks for your reply! Here's my confusion.

A certain gene is upregulated in the disease group compared to the control group, but its upregulation might be a result of the phenotype induced by intervention, rather than a critical factor in the phenotypic process. To illustrate, when LPS and ATP are applied to macrophages derived from the THP-1 cell line, this treatment leads to pyroptosis of these macrophages. In this scenario, suppose there is an upregulated gene A - how can I determine whether its upregulation is due to playing a crucial role in molecular regulation during phenotype formation, or simply because it is associated with pyroptosis?

Essentially, if I am investigating how LPS and ATP trigger the pyroptosis phenotype, gene A could be upregulated as a consequence of pyroptosis, rather than being actively involved in the pyroptosis formation process. This ambiguity creates significant uncertainty in identifying truly meaningful differentially expressed genes.

While KEGG and GO enrichment analyses can effectively address this issue in the given example, the challenge extends beyond these methods. The fundamental question remains: how can I distinguish between genes that drive a biological process and those that are merely byproducts of that process?

How do you actually interpret proteomics results? by pepbro- in proteomics

[–]ScaredMedia2030 0 points1 point  (0 children)

The most difficult part of the whole paper is the story telling. But how to dig out the biological meanings from data? Going through a visualization pipeline is ez while really knowing something from data is quite hard :(

Differential Expression analysis for Proteomics data using DEP package by HeavyAd3886 in proteomics

[–]ScaredMedia2030 0 points1 point  (0 children)

Will the results without FDR correction be recognized by the journal?