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The number of in-house scripting is alarming in computational proteomics by 2019. The use of in-house scripts is the source of:
- [ ] lack of traceability, reproducibility
- [ ] the more complex …
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Is there any reason to restrict the scope of this project to "neuroscience" ? Couldn't we think about life science in general?
Especially when one consider that neuroscientists sometimes also do me…
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There are 2 citations missing in the `human_protein_citations_refseq.csv`. I checked the missing PMIDs and they are still valid and the `human_protein_function_refseq.csv` does contain the PMIDs. I ch…
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Hello,
I am trying to use xCell with Proteomics data, before using it I normalized and imputed the data. I also checked the number of genes, the tool requires minimum 5000 genes, my file contains …
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Dear Sabrina, @SabrinaRichter
Thanks for your research and your contribution to the single-cell proteomic data. I am very interested in the data mentioned in your article. I am a PhD student and I …
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I am quite interested in the method and would like to repeat the analysis to further understand it.
I found the normalized CPTAC data from the original publication, but I am not sure whether that wa…
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* data formats: accessibility and challenges
* the open Vs. closed source scenario
* common programming languages: founder's effect and influences from the software development field.
* how new stu…
prvst updated
5 years ago
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- [ ] [Correlated gene modules uncovered by high-precision single-cell transcriptomics](https://www.pnas.org/doi/abs/10.1073/pnas.2206938119)
- [x] [Dynamics of single-cell protein covariation during…
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Informed metabolomics and NOM search space
Due to the metabolome's highly complex and still largely undiscovered molecular composition, de novo
analysis strategies, often used in proteomics and genomi…
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Hello! Great tool you have developed.
I was curious as to the specific preprocessing steps for the proteomic data. For instance, CPTAC LUAD seems to contain 11485 proteins, where the original was …