The package contains functions for exploratory oligonucleotide array analysis. The dependence on tkWidgets only concerns few convenience functions. 'affy' is fully functional without it.
日本語の概要は準備中です。原文の説明を表示しています。
The FDA Adverse Event Reporting System (FAERS) is a database used for the spontaneous reporting of adverse events and medication errors related to human drugs and therapeutic biological products. faers pacakge serves as the interface between the FAERS database and R. Furthermore, faers pacakge offers a standardized approach for performing pharmacovigilance analysis.
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library(faers)
# 1. Check metadata of FAERS
faers_meta(internal = TRUE)
# 2. Download and parse quarterly data files
data2 <- faers(
c(2004, 2017),
c("q1", "q2"),
dir = system.file("extdata", package = "faers"),
compress_dir = tempdir()
)
# 3. Retrieve specific field data (e.g., demographic data)
demo_data <- faers_get(data2, "demo")
# 4. Load standardized data and retrieve MedDRA hierarchy
data_std <- readRDS(system.file("extdata", "standardized_data.rds", package = "faers"))
meddra_hier <- faers_meddra(data_std, use = "hierarchy")
Input/Output Note: Inputs are year, quarter, and directory paths for FAERS raw data; outputs are standardized FAERS data tables and MedDRA hierarchy mappings.
faers_get.faers_standardize and faers_meddra.FALSE): Logical indicating whether to use internal cached FAERS metadata in faers_meta."hierarchy"): Component of MedDRA to retrieve (e.g., "hierarchy" or "SMQ").faers_meta(internal = TRUE) to verify available quarters and file sizes before downloading.faers_combine to merge multiple quarters of parsed FAERS data into a single object.faers_standardize with a valid MedDRA path to ensure consistent terminology.meddra_path is correctly specified.openfda: For querying the OpenFDA API directly instead of parsing raw quarterly files.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
The package contains functions for exploratory oligonucleotide array analysis. The dependence on tkWidgets only concerns few convenience functions. 'affy' is fully functional without it.
日本語の概要は準備中です。原文の説明を表示しています。
This tool uses the label-tree function from HyPhy to annotate a phylogenetic tree. It allows users to select a subset of leaves using either a regular expression or a list of sequence names, and then apply a specified label to these selecte
日本語の概要は準備中です。原文の説明を表示しています。
This package provides a client for the Bioconductor AnnotationHub web resource. The AnnotationHub web resource provides a central location where genomic files (e.g., VCF, bed, wig) and other resources from standard locations (e.g., UCSC, En
日本語の概要は準備中です。原文の説明を表示しています。
apeglm provides Bayesian shrinkage estimators for effect sizes for a variety of GLM models, using approximation of the posterior for individual coefficients.
日本語の概要は準備中です。原文の説明を表示しています。
ASURAT is a software for single-cell data analysis. Using ASURAT, one can simultaneously perform unsupervised clustering and biological interpretation in terms of cell type, disease, biological process, and signaling pathway activity. Inputting a single-cell RNA-seq data and knowledge-based databases, such as Cell Ontology, Gene Ontology, KEGG, etc., ASURAT transforms gene expression tables into original multivariate tables, termed sign-by-sample matrices (SSMs).
日本語の概要は準備中です。原文の説明を表示しています。
AUCell allows to identify cells with active gene sets (e.g. signatures, gene modules...) in single-cell RNA-seq data. AUCell uses the "Area Under the Curve" (AUC) to calculate whether a critical subset of the input gene set is enriched with
日本語の概要は準備中です。原文の説明を表示しています。