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perl-curses
|
public |
terminal screen handling and optimization
|
2025-03-25 |
|
semgrep
|
public |
Easily detect and prevent bugs and anti-patterns in your codebase
|
2025-03-25 |
|
opam
|
public |
A package manager for OCaml
|
2025-03-25 |
|
svg2pdf
|
public |
ABC music notation software
|
2025-03-25 |
|
libsvg-cairo
|
public |
SVG rendering library using Cairo
|
2025-03-25 |
|
libsvg
|
public |
SVG rendering library using Cairo
|
2025-03-25 |
|
spice-protocol
|
public |
Headers for SPICE protocol
|
2025-03-25 |
|
vde
|
public |
Ethernet compliant virtual network
|
2025-03-25 |
|
ncmpcpp
|
public |
Ncurses-based client for the Music Player Daemon
|
2025-03-25 |
|
taglib
|
public |
Audio metadata library
|
2025-03-25 |
|
libid3tag
|
public |
ID3 tag manipulation library
|
2025-03-25 |
|
mpd
|
public |
Library for MPD in the C, C++, and Objective-C languages
|
2025-03-25 |
|
libupnp
|
public |
Portable UPnP development kit
|
2025-03-25 |
|
libshout
|
public |
Data and connectivity library for the icecast server
|
2025-03-25 |
|
speex
|
public |
Speex: A Free Codec For Free Speech
|
2025-03-25 |
|
libsamplerate
|
public |
Library for sample rate conversion of audio data
|
2025-03-25 |
|
libnfs
|
public |
Cross-platform Audio Library
|
2025-03-25 |
|
libmpdclient
|
public |
Library for MPD in the C, C++, and Objective-C languages
|
2025-03-25 |
|
libao
|
public |
Cross-platform Audio Library
|
2025-03-25 |
|
faad2
|
public |
ISO AAC audio decoder
|
2025-03-25 |
|
sdpr
|
public |
Method to compute polygenic risk score (PRS) from summary statistics
|
2025-03-25 |
|
r-lassosum
|
public |
LASSO with summary statistics and a reference panel
|
2025-03-25 |
|
r-susier
|
public |
Implements methods for variable selection in linear regression based on the "Sum of Single Effects" (SuSiE) model, as described in Wang et al (2020) <DOI:10.1101/501114>. These methods provide simple summaries, called "Credible Sets", for accurately quantifying uncertainty in which variables should be selected. The methods are motivated by genetic fine-mapping applications, and are particularly well-suited to settings where variables are highly correlated and detectable effects are sparse. The fitting algorithm, a Bayesian analogue of stepwise selection methods called "Iterative Bayesian Stepwise Selection" (IBSS), is simple and fast, allowing the SuSiE model be fit to large data sets (thousands of samples and hundreds of thousands of variables).
|
2025-03-25 |
|
ddqc
|
public |
No Summary
|
2025-03-25 |
|
cellbender
|
public |
A software package for eliminating technical artifacts from high-throughput single-cell RNA sequencing (scRNA-seq) data
|
2025-03-25 |
