Rho: A Purpose-Driven Workspace for Human-AI Collaborative Analysis
Rho is a collaborative analysis environment that organizes materials by scientific purpose to support human-AI judgment in bioinformatics.
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Southern Medical UniversityORCID 0000-0002-6485-8781Unclaimed ORCID profile · follow to get notified of new preprints
9 papers
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Rho is a collaborative analysis environment that organizes materials by scientific purpose to support human-AI judgment in bioinformatics.
Yun Peng, Shan Jiang, Yuxuan Song…·Shixiang Wang
ggalign provides a flexible R package for creating composable visualizations of complex, multi-dimensional biological data using layout options and annotation features.
Bingdong Liu, Yaxi Liu, Shuangbin Xu…·Liwei Xie
EasyMultiProfiler provides a streamlined workflow for integrating and analyzing multi-omics microbiome data, addressing challenges in standardization and reproducibility.
Dongqiang Zeng, Yiran Fang, Wenjun Qiu…·Wangjun Liao
IOBR2 is a tool for analyzing tumor microenvironment using multi-omics data, offering modules for preprocessing, estimation, interaction analysis, and visualization.
Difei Wang, Guannan Chen, Lin Li…·Guangchuang Yu
The paper introduces the fanyi package, an AI-driven tool for translating and retrieving gene information to overcome language barriers in research.
Yongtao Ye, Marcus Ho-Hin Shum, Joseph L.-H. Tsui…·Tommy Tsan‐Yuk Lam
The paper introduces TIPars, an algorithm for efficiently expanding phylogenies with new genome sequences, showing it outperforms existing methods on multiple datasets.
Shuangbin Xu, Lin Li, Xiao Luo…·Guangchuang Yu
Ggtree creates a serialized data object for visualizing phylogenetic trees with associated annotations, enabling data reuse and reproducibility.
Dongqiang Zeng, Zilan Ye, Rongfang Shen…·Wangjun Liao
IOBR is a computational tool that integrates multi-omics data to analyze tumor microenvironment and signatures, enabling batch analysis and comparison of immunotherapy-related features.
Tianzhi Wu, Erqiang Hu, Shuangbin Xu…·Guangchuang Yu
clusterProfiler performs over-representation (Fisher's exact test) and gene set enrichment analyses on Gene Ontology, KEGG, and user-supplied annotations, supporting non-model organisms, multi-condition comparisons, and ggplot2-based visualization.