umic | barcode counting for inDrops3 single cell RNA-seq protocol

by naumenko-sa C++ Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | umic Summary

umic is a C++ library. umic has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

barcode counting for inDrops3 single cell RNA-seq protocol

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Support

umic has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

umic has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of umic is current.

Quality

umic has 0 bugs and 0 code smells.

Security

umic has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

umic code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

umic is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

umic releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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umic Key Features

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umic Examples and Code Snippets

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Community Discussions

Trending Discussions on umic

Dangers of mixing [tidyverse] and [data.table] syntax in R?

Create Continuous Enrollment islands for a certain sub-population

QUESTION

Dangers of mixing [tidyverse] and [data.table] syntax in R?

Asked 2021-Jun-15 at 06:35

I'm getting some very weird behavior from mixing tidyverse and data.table syntax. For context, I often find myself using tidyverse syntax, and then adding a pipe back to data.table when I need speed vs. when I need code readability. I know Hadley's working on a new package that uses tidyverse syntax with data.table speed, but from what I see, it's still in it's nascent phases, so I haven't been using it.

Anyone care to explain what's going on here? This is very scary for me, as I've probably done these thousands of times without thinking.

...

ANSWER

Answered 2021-Jun-15 at 06:35

I came across the same problem on a few occasions, which led me to avoid mixing dplyr with data.table syntax, as I didn't take the time to find out the reason. So thanks for providing a MRE.

Looks like dplyr::arrange is interfering with data.table auto-indexing :

index will be used when subsetting dataset with == or %in% on a single variable

by default if index for a variable is not present on filtering, it is automatically created and used

indexes are lost if you change the order of data

you can check if you are using index with options(datatable.verbose=TRUE)

If we explicitely set auto-indexing :

Source https://stackoverflow.com/questions/67940098

QUESTION

Create Continuous Enrollment islands for a certain sub-population

Asked 2021-Apr-09 at 13:13

My end goal is to create islands of continuous enrollment days for each CLIENTID for a single sub-population: 'Adult Expansion' for calendar years 2019 and 2020. A CLIENTID can be associated with multiple sub-populations in a calendar year, but can never be associated with more than one sub-population at once (there is no overlap in enrollment). My data go back to 2016, but I am only interested in 2019 and 2020. The data are structured that each row is a single enrollment period, with start and end dates of enrollment, associated with a sub-population.

I've included below some dummy data and a desired output to better illustrate my goal:

...

ANSWER

Answered 2021-Apr-09 at 08:16

Here's a solution using a gaps-and-islands approach:

Source https://stackoverflow.com/questions/67010434

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install umic

You can download it from GitHub.

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