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jdblischak / packages

Package Name Access Summary Updated
tiledbsoma-py public TileDB-SOMA Python API 2025-03-25
libtiledbsoma public TileDB-SOMA C++ library 2025-03-25
r-tiledbsoma public TileDB-SOMA R API 2025-03-25
libtiledb-sql-py public libtiledb-sql-py is a Embedded Python SQL interface for TileDB arrays using the MyTile storage engine 2025-03-25
m2w64-htslib public C library for high-throughput sequencing data formats. 2025-03-25
tiledb-py public Python interface to the TileDB sparse and dense multi-dimensional array storage manager 2025-03-25
tiledb public TileDB sparse and dense multi-dimensional array data management 2025-03-25
r-archr public This package is designed to streamline scATAC analyses in R. 2025-03-25
cross-r-base public R is a free software environment for statistical computing and graphics. 2025-03-25
r-base public R is a free software environment for statistical computing and graphics. 2025-03-25
r-h2gener public A method for partitioning gene-level contributions to complex-trait heritability by allele frequency (or any other binary annotations) 2025-03-25
r-susier public The package implements a simple new way to perform variable selection in multiple regression ($y=Xb+e$), using computationally efficient variational Bayes approach. The methods implemented here are particularly well-suited to settings where some of the X variables are highly correlated, and the true effects are highly sparse (e.g. <20 non-zero effects in the vector $b$), although it is also useful to more general applications. 2025-03-25
r-tinier public Shrink image filesizes with the TinyPNG API <https://tinypng.com>. Works with .png and .jpg/.jpeg files, and can return the new image filepath to enable embedding in other image workflows/functions. 2025-03-25
r-mixsqp public Provides optimization algorithms based on sequential quadratic programming (SQP) for maximum likelihood estimation of the mixture proportions in a finite mixture model where the component densities are known. The algorithms are expected to obtain solutions that are at least as accurate as the state-of-the-art MOSEK interior-point solver (called by function "KWDual" in the 'REBayes' package), and they are expected to arrive at solutions more quickly in large data sets. The algorithms are described in Y. Kim, P. Carbonetto, M. Stephens & M. Anitescu (2012) <arXiv:1806.01412>. 2025-03-25
r-mashr public Empirical Bayes shrinkage of multivariate effects. 2025-03-25
r-coga public Evaluation for density and distribution function of convolution of gamma distributions in R. Two related exact methods and one approximate method are implemented with efficient algorithm and C++ code. A quick guide for choosing correct method and usage of this package is given in package vignette. 2025-03-25
r-rodbc public An ODBC database interface. 2025-03-25
sos-r public SoS Notebook extension for language R 2025-03-25
sos-notebook public Script of Scripts (SoS): an interactive, cross-platform, and cross-language workflow system for reproducible data analysis 2025-03-25
wand public Ctypes-based simple MagickWand API binding for Python 2025-03-25
r-dscrutils public Various R functions for interacting with and analyzing the results of a Dynamic Statistical Comparison (DSC) experiment. 2025-03-25
sos public Script of Scripts (SoS): an interactive, cross-platform, and cross-language workflow system for reproducible data analysis 2025-03-25
r-vicar public Implements many methods for accounting for unobserved confounding in linear regression. If control genes are available, then the following methods are implementable: a calibrated version of CATE/RUV4 (vruv4), a Bayesian version of RUV (ruvb), a version of RUV that unifies other versions of RUV (ruv3), and a generalized version of RUV (ruvimpute). If control genes are not available, then MOUTHWASH (mouthwash) and BACKWASH (backwash) are excellent procedures to use as long as only one covariate is of interest. 2025-03-25
r-seqgendiff public Modifies/generates RNA-seq data for use in simulations. 2025-03-25
r-cate public Provides several methods for factor analysis in high dimension (both n,p >> 1) and methods to adjust for possible confounders in multiple hypothesis testing. 2025-03-25

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