R-universe search: exports:acc

Showing 12 of total 12 results (show query)

bioc

graph:graph: A package to handle graph data structures

A package that implements some simple graph handling capabilities.

Maintained by Bioconductor Package Maintainer. Last updated 14 days ago.

graphandnetwork

11.86 score 764 scripts 339 dependents

nanxstats

protr:Generating Various Numerical Representation Schemes for Protein Sequences

Comprehensive toolkit for generating various numerical features of protein sequences described in Xiao et al. (2015) <DOI:10.1093/bioinformatics/btv042>. For full functionality, the software 'ncbi-blast+' is needed, see <https://blast.ncbi.nlm.nih.gov/doc/blast-help/downloadblastdata.html> for more information.

Maintained by Nan Xiao. Last updated 7 months ago.

bioinformatics feature-engineering feature-extraction machine-learning peptides protein-sequences sequence-analysis

52 stars 10.02 score 173 scripts 3 dependents

flr

FLCore:Core Package of FLR, Fisheries Modelling in R

Core classes and methods for FLR, a framework for fisheries modelling and management strategy simulation in R. Developed by a team of fisheries scientists in various countries. More information can be found at <http://flr-project.org/>.

Maintained by Iago Mosqueira. Last updated 13 days ago.

fisheries flr fisheries-modelling

16 stars 8.78 score 956 scripts 23 dependents

bioc

Rcpi:Molecular Informatics Toolkit for Compound-Protein Interaction in Drug Discovery

A molecular informatics toolkit with an integration of bioinformatics and chemoinformatics tools for drug discovery.

Maintained by Nan Xiao. Last updated 5 months ago.

software dataimport datarepresentation featureextraction cheminformatics biomedicalinformatics proteomics go systemsbiology bioconductor bioinformatics drug-discovery feature-extraction fingerprint molecular-descriptors protein-sequences

37 stars 7.81 score 29 scripts

bioc

MLInterfaces:Uniform interfaces to R machine learning procedures for data in Bioconductor containers

This package provides uniform interfaces to machine learning code for data in R and Bioconductor containers.

Maintained by Vincent Carey. Last updated 5 months ago.

classification clustering

7.63 score 79 scripts 6 dependents

psoerensen

qgg:Statistical Tools for Quantitative Genetic Analyses

Provides an infrastructure for efficient processing of large-scale genetic and phenotypic data including core functions for: 1) fitting linear mixed models, 2) constructing marker-based genomic relationship matrices, 3) estimating genetic parameters (heritability and correlation), 4) performing genomic prediction and genetic risk profiling, and 5) single or multi-marker association analyses. Rohde et al. (2019) <doi:10.1101/503631>.

Maintained by Peter Soerensen. Last updated 15 days ago.

fortran openblas cpp

36 stars 7.01 score 47 scripts

xiaozhangryy

CAESAR.Suite:CAESAR: a Cross-Technology and Cross-Resolution Framework for Spatial Omics Annotation

Biotechnology in spatial omics has advanced rapidly over the past few years, enhancing both throughput and resolution. However, existing annotation pipelines in spatial omics predominantly rely on clustering methods, lacking the flexibility to integrate extensive annotated information from single-cell RNA sequencing (scRNA-seq) due to discrepancies in spatial resolutions, species, or modalities. Here we introduce the CAESAR suite, an open-source software package that provides image-based spatial co-embedding of locations and genomic features. It uniquely transfers labels from scRNA-seq reference, enabling the annotation of spatial omics datasets across different technologies, resolutions, species, and modalities, based on the conserved relationship between signature genes and cells/locations at an appropriate level of granularity. Notably, CAESAR enriches location-level pathways, allowing for the detection of gradual biological pathway activation within spatially defined domain types. More details on the methods related to our paper currently under submission. A full reference to the paper will be provided in future versions once the paper is published.

Maintained by Xiao Zhang. Last updated 8 days ago.

openblas cpp

1 stars 5.67 score 2 scripts

appliedstat

rQCC:Robust Quality Control Chart

Constructs various robust quality control charts based on the median or Hodges-Lehmann estimator (location) and the median absolute deviation (MAD) or Shamos estimator (scale). The estimators used for the robust control charts are all unbiased with a sample of finite size. For more details, see Park, Kim and Wang (2022) <doi:10.1080/03610918.2019.1699114>. In addition, using this R package, the conventional quality control charts such as X-bar, S, R, p, np, u, c, g, h, and t charts are also easily constructed. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2022R1A2C1091319).

Maintained by Chanseok Park. Last updated 1 years ago.

control-chart goodness-of-fit r-language weibull

2 stars 4.70 score 3 scripts

ovgu-sh

desk:Didactic Econometrics Starter Kit

Written to help undergraduate as well as graduate students to get started with R for basic econometrics without the need to import specific functions and datasets from many different sources. Primarily, the package is meant to accompany the German textbook Auer, L.v., Hoffmann, S., Kranz, T. (2024, ISBN: 978-3-662-68263-0) from which the exercises cover all the topics from the textbook Auer, L.v. (2023, ISBN: 978-3-658-42699-6).

Maintained by Soenke Hoffmann. Last updated 12 months ago.

4.30 score 10 scripts

coatless-rpkg

jjb:Balamuta Miscellaneous

Set of common functions used for manipulating colors, detecting and interacting with 'RStudio', modeling, formatting, determining users' operating system, feature scaling, and more!

Maintained by James Balamuta. Last updated 1 years ago.

2 stars 3.97 score 31 scripts 1 dependents

cran

lctools:Local Correlation, Spatial Inequalities, Geographically Weighted Regression and Other Tools

Provides researchers and educators with easy-to-learn user friendly tools for calculating key spatial statistics and to apply simple as well as advanced methods of spatial analysis in real data. These include: Local Pearson and Geographically Weighted Pearson Correlation Coefficients, Spatial Inequality Measures (Gini, Spatial Gini, LQ, Focal LQ), Spatial Autocorrelation (Global and Local Moran's I), several Geographically Weighted Regression techniques and other Spatial Analysis tools (other geographically weighted statistics). This package also contains functions for measuring the significance of each statistic calculated, mainly based on Monte Carlo simulations.

Maintained by Stamatis Kalogirou. Last updated 1 years ago.

1 stars 2.30 score

cran

acc:Exploring Accelerometer Data

Processes accelerometer data from uni-axial and tri-axial devices, and generates data summaries. Also includes functions to plot, analyze, and simulate accelerometer data.

Maintained by Jaejoon Song. Last updated 8 years ago.

openblas cpp

1 stars 1.78 score