Le Chang
Molecular Biology · Nucleic Acids Res. · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 85 citations into it
- Spectroscopy — 31 citations into it
- Cancer Research — 17 citations into it
Whom Le Chang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Suresh Mathivanan
- Ana Kozomara
- Anindya Bhattacharya
- Zhan Tong
- V. Licursi
- Junhao Li
- Alexander Lachmann
- Albert-László Barabási
- Zhou Huang
- Paul T. Shannon
Papers from Le Chang's perspective
Ordered by how strongly the researchers Le Chang trusts endorse each paper. Same corpus, a different order for every researcher.
- Cytoscape: a software environment for integrated models of biomolecular interaction networks.
- DIANA-TarBase v8: a decade-long collection of experimentally supported miRNA–gene interactions (Nucleic Acids Res.)
- Supplementary data: Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites
- starBase v2.0: decoding miRNA-ceRNA, miRNA-ncRNA and protein–RNA interaction networks from large-scale CLIP-Seq data (Nucleic Acids Res.)
- ExoCarta: A compendium of exosomal proteins and RNA (Proteomics)
- Bio::Homology::InterologWalk - A Perl module to build putative protein-protein interaction networks through interolog mapping (BMC Bioinformatics)
- Network Medicine: A Network-based Approach to Human Disease
- miRNet - dissecting miRNA-target interactions and functional associations through network-based visual analysis (Nucleic Acids Res.)
- JASPAR 2020: update of the open-access database of transcription factor binding profiles (Nucleic Acids Res.)
- miRBase: from microRNA sequences to function (Nucleic Acids Res.)
Their papers
- MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights (2021) — 3,328 citations
- Using MetaboAnalyst 5.0 for LC–HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data (2022) — 1,086 citations
- miRNet 2.0: network-based visual analytics for miRNA functional analysis and systems biology (2020) — 729 citations