专题:Gene expression and cancer classification

This cluster of papers focuses on the analysis of microarray data and gene expression profiling, covering topics such as normalization, differential expression, feature selection, machine learning applications, clustering methods, quality control, and bioinformatics tools. The papers discuss various techniques and methods for processing and interpreting gene expression data obtained from microarray experiments.
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近5年高被引文献
The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest

article Full Text OpenAlex 8769 FWCI634.1714

DAVID: a web server for functional enrichment analysis and functional annotation of gene lists (2021 update)

article Full Text OpenAlex 6249 FWCI512.4652

Targeted Branching for the Maximum Independent Set Problem Using Graph Neural Networks

preprint Full Text OpenAlex 5398 FWCI333.9695

Complex heatmap visualization

article Full Text OpenAlex 1831 FWCI130.4551

g:Profiler—interoperable web service for functional enrichment analysis and gene identifier mapping (2023 update)

article Full Text OpenAlex 1582 FWCI226.3181

Sangerbox: A comprehensive, interaction‐friendly clinical bioinformatics analysis platform

article Full Text OpenAlex 1205 FWCI103.0794

Museum of spatial transcriptomics

review Full Text OpenAlex 1198 FWCI90.9548

Using clusterProfiler to characterize multiomics data

review Full Text OpenAlex 1180 FWCI799.5005

Methods and applications for single-cell and spatial multi-omics

review Full Text OpenAlex 1130 FWCI158.9094

GSEApy: a comprehensive package for performing gene set enrichment analysis in Python

article Full Text OpenAlex 1109 FWCI79.9536