
GITHUB . COM {
}
Detected CMS Systems:
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Title:
GitHub - const-ae/lemur: Latent Embedding Multivariate Regression
Description:
Latent Embedding Multivariate Regression. Contribute to const-ae/lemur development by creating an account on GitHub.
Website Age:
17 years and 8 months (reg. 2007-10-09).
Matching Content Categories {📚}
- Education
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Github.com utilizes WORDPRESS.
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🚀🌠 Tremendous Traffic: 10M - 20M visitors per month
Based on our best estimate, this website will receive around 10,634,025 visitors per month in the current month.
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Subscription Packages {💳}
Prices on github.com are in US Dollars ($).
They range from $4.00/month to $21.00/month.
We estimate that the site has approximately 5,306,250 paying customers.
The estimated monthly recurring revenue (MRR) is $22,286,249.
The estimated annual recurring revenues (ARR) are $267,434,988.
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Keywords {🔍}
lemur, ensg, cells, umap, data, chr, expression, neighborhood, condition, fit, dbl, cell, differential, latent, patientid, neighborhoods, tumor, design, nembedding, panobinostat, regression, gene, conditions, matrix, call, ggplotaesx, geompointaescolor, plot, contrast, size, model, function, space, adjpval, chrtotalexpr, embedding, analysis, test, package, singlecellexperiment, object, groupby, packages, names, coordfixed, fitembedding, source, search, license, show,
Topics {✒️}
const-ae/lemur single-cell rna-seq dataset 4-arm64/resources/lib/librblas 4-arm64/resources/lib/librlapack multi-condition single-cell data traditional single-cell analysis github repository regression analysis implemented detect subtle patterns usual accessor methods additional fields produced differential expression pattern loading required packages latent cell states larger differential expression show differential responses basic lemur workflow lemur automatically forms cell type information cell type disappears appropriately large limit large compositional shifts session info sessioninfo find tumor subpopulations cell type annotation $-dimensional latent space automated alignment procedure predicted logarithmic fold simple gating strategy lemur finds neighborhoods group_by argument determines test_de function takes paired experimental design test_fraction argument sets call lemur directly low-dimensional embedding function find_de_neighborhoods validates install lemur directly lemur function returns pre-calculated set lemur package ships smaller n_embedding reduces differential expression results =list is_tumor = tumor_label_df$is_tumor log-transformed data found make lemur faster negative control condition commit message
Payment Methods {📊}
- Braintree
Questions {❓}
- Can I call lemur directly with the aligned data?
- Can I call lemur with sctransformed instead of log-transformed data?
- How do I make lemur faster?
- What is happening?
- What should I do?
External Links {🔗}(9)
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- Find out how much https://www.githubstatus.com/ earns monthly
Analytics and Tracking {📊}
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Libraries {📚}
- Clipboard.js
- D3.js
- Plyr
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