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Curate 10, 30 and 50 node boolean GRN models, use our code to generate input data that includes ExpressionData.csv (a gene by cell matrix) and pseudotime ordering of cells.
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学长你好, 我最近在拜读你的一片论文,BiXGBoost: a scalable, flexible boosting based method for
reconstructing gene regulatory networks.论文中用到了Escherichia coli network这个数据集。恕我愚钝,不知道怎么收集到完整的数据。希望你可以帮助。
安好!
ghost updated
5 years ago
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Hi,
Here is the paper testing GENIE3's performance.
Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression data
BMC Bioinfo…
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Hi,
Thanks for referring to the Drosophila eye development paper. I read through it. Excellent work!
For the co-expression network construction, the paper used PTM, and GENIE3. The current version …
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Hi
Can we do that? my feeling is we can, only the interpretation is different.
Best
Yu
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```
We need to link Entrez Gene to pathwaycommons.org
This requires building XML files to submit to Entrez Gene.
We probably want to automatically generate these files with every PC build (and
incl…
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Hi,
I have a general question about the python version of the SCENIC workflow. I have been using the R version for several months now and recently started using pySCENIC. If i interpret the output …
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Update the following URL to point to the GitHub repository of
the package you wish to submit to _Bioconductor_
- Repository: https://github.com/i3bionet/CoRegFlux
Confirm the following by editi…
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Please come to my Biology Department seminar on Friday, 9/14/18, 2:00PM, LSB Auditorium.
Title: From the lac operon to the spaghettiome, what can we learn from modeling gene regulatory networks on…
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How to export normalized data and genes belonging which network ?