Jasmine Chong
Molecular Biology · 2017–2021
A researcher in the Science corpus: 7 papers; trusts 26 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 172 citations into it; #5,596 of 17,773 by trust here, #8,280 by citations
- Ecology — 35 citations into it
- Spectroscopy — 34 citations into it; #662 of 1,674 by trust here, #1,435 by citations
- Biophysics — 13 citations into it
- Artificial Intelligence — 12 citations into it
- Computational Theory and Mathematics — 11 citations into it
- Genetics — 11 citations into it
- Biomedical Engineering — 9 citations into it
Whom Jasmine Chong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jianguo Xia
- David S. Wishart
- Bradley Efron
- Friedrich Leisch
- Shuzhao Li
- Ralf Tautenhahn
- Robert Tibshirani
- Giuseppe Gallone
- Paul J. McMurdie
- Trevor J. Hastie
Who trusts Jasmine Chong overall
- Zhiqian Pang
- Zhiqiang Pang
- David S. Wishart
- Jianguo Xia
- Guangyan Zhou
- Yao Lu
- Jessica Ewald
- Richa Bharti
- Shuzhao Li
Papers from Jasmine Chong's perspective
Ordered by how strongly the researchers Jasmine Chong trusts endorse each paper. Same corpus, a different order for every researcher.
- Seven Golden Rules for heuristic filtering of molecular formulas obtained by accurate mass spectrometry (BMC Bioinformatics)
- HMDB: a knowledgebase for the human metabolome
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- The metagenomics RAST server – a public resource for the automatic phylogenetic and functional analysis of metagenomes
- Bio::Homology::InterologWalk - A Perl module to build putative protein-protein interaction networks through interolog mapping (BMC Bioinformatics)
- Bioconductor: open software development for computational biology and bioinformatics (Genome Biology)
- Metabolomic database annotations via query of elemental compositions: Mass accuracy is insufficient even at less than 1 ppm (BMC Bioinformatics)
- MetaboAnalyst: a web server for metabolomic data analysis and interpretation (Nucleic Acids Res.)
- Empirical Bayes Analysis of a Microarray Experiment
- KEGG: new perspectives on genomes, pathways, diseases and drugs
Their papers
- MicrobiomeAnalyst: a web-based tool for comprehensive statistical, visual and meta-analysis of microbiome data (2017) — 1,612 citations
- MetaboAnalystR: an R package for flexible and reproducible analysis of metabolomics data (2018) — 677 citations
- MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis (2018) — 3,230 citations
- Using MetaboAnalyst 4.0 for Comprehensive and Integrative Metabolomics Data Analysis (2019) — 1,901 citations
- Using MicrobiomeAnalyst for comprehensive statistical, functional, and meta-analysis of microbiome data (2020) — 1,416 citations
- MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights (2021) — 3,328 citations
- MetaboAnalystR 3.0: Toward an Optimized Workflow for Global Metabolomics (2020) — 474 citations