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nebula1988's Projects

akm-rmst icon akm-rmst

Adjusted restricted mean survival times in observational studies

aucell icon aucell

AUCell: score single cells with gene regulatory networks

bibliometrix icon bibliometrix

An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.

blasso icon blasso

Integrating LASSO and bootstrapping algorithm to find best prognostic or predictive biomarkers

bulk2space icon bulk2space

a spatial deconvolution method based on deep learning frameworks, which converts bulk transcriptomes into spatially resolved single-cell expression profiles

cellchat icon cellchat

R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data

chatgpt_academic icon chatgpt_academic

科研工作专用ChatGPT拓展,特别优化学术Paper润色体验,支持自定义快捷按钮,支持自定义函数插件,支持markdown表格显示,Tex公式双显示,代码显示功能完善,新增本地Python/C++/Go项目树剖析功能/项目源代码自译解能力,新增PDF和Word文献批量总结功能/PDF论文全文翻译功能

chest icon chest

:exclamation: This is a read-only mirror of the CRAN R package repository. chest — Change-in-Estimate Approach to Assess Confounding Effects

cobalt icon cobalt

Covariate Balance Tables and Plots - An R package for assessing covariate balance

comparegroups icon comparegroups

R package to easily build publication-ready univariate or bivariate descriptive tables from a data set.

condsurv icon condsurv

R package for conditional survival analysis

cytospace icon cytospace

CytoSPACE: Optimal mapping of scRNA-seq data to spatial transcriptomics data

deepsurv icon deepsurv

DeepSurv is a deep learning approach to survival analysis.

deeptables icon deeptables

DeepTables: Deep-learning Toolkit for Tabular data

ebiomedicine icon ebiomedicine

Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study

echo-mimiciii icon echo-mimiciii

Transthoracic echocardiography and mortality in sepsis: analysis of the MIMIC-III database

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