Zhiqiang Pang
Molecular Biology · 2022–2024
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 89 citations into it
- Spectroscopy — 30 citations into it
Whom Zhiqiang Pang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jianguo Xia
- Ralf Tautenhahn
- Jasmine Chong
- Zhiqian Pang
- David S. Wishart
- Gibran Hemani
- Shuzhao Li
- Matthew E. Ritchie
- Oliver Fiehn
- Minoru Kanehisa
Papers from Zhiqiang Pang's perspective
Ordered by how strongly the researchers Zhiqiang Pang trusts endorse each paper. Same corpus, a different order for every researcher.
- XCMS Online: a web-based platform to process untargeted metabolomic data (Analytical Chemistry)
- MS-DIAL: Data Independent MS/MS Deconvolution for Comprehensive Metabolome Analysis (Nature Methods)
- Highly sensitive feature detection for high resolution LC/MS (BMC Bioinformatics)
- MSEA: a web-based tool to identify biologically meaningful patterns in quantitative metabolomic data (Nucleic Acids Res.)
- A global test for groups of genes: testing association with a clinical outcome (Bioinform.)
- Using MicrobiomeAnalyst for comprehensive statistical, functional, and meta-analysis of microbiome data (Nature Protocols)
- Orienting the causal relationship between imprecisely measured traits using GWAS summary data (PLoS Genetics)
- Toward Merging Untargeted and Targeted Methods in Mass Spectrometry-Based Metabolomics and Lipidomics. (Analytical Chemistry)
- Permutational Multivariate Analysis of Variance (PERMANOVA)
- Multivariable association discovery in population-scale meta-omics studies (bioRxiv)
Their papers
- MicrobiomeAnalyst 2.0: comprehensive statistical, functional and integrative analysis of microbiome data (2023) — 517 citations
- MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation (2024) — 1,732 citations
- Using MetaboAnalyst 5.0 for LC–HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data (2022) — 1,086 citations