Yuanfang Guan
Molecular Biology · 2012–2020
A researcher in the Science corpus: 7 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 95 citations into it
- Artificial Intelligence — 37 citations into it
- Statistics and Probability — 17 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
- Cancer Research — 11 citations into it
- Statistical Learning Theory — 10 citations into it
Whom Yuanfang Guan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yuanfang Guan's perspective
Ordered by how strongly the researchers Yuanfang Guan trusts endorse each paper. Same corpus, a different order for every researcher.
- Gene Ontology: tool for the unification of biology
- The BioGRID Interaction Database: 2011 update (Nucleic Acids Res.)
- The Pfam protein families database
- The IntAct molecular interaction database in 2010 (Nucleic Acids Res.)
- The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases
- Pathway Commons, a web resource for biological pathway data (Nucleic Acids Res.)
- PID: the Pathway Interaction Database (Nucleic Acids Res.)
- A gene atlas of the mouse and human protein-encoding transcriptomes. (Proceedings of the National Academy of Sciences of the United States of America)
- BioGRID: a general repository for interaction datasets
- The Nature of Statistical Learning Theory
Their papers
- Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen (2019) — 299 citations
- Inferring causal molecular networks: empirical assessment through a community-based effort (2016) — 222 citations
- Functional Knowledge Transfer for High-accuracy Prediction of Under-studied Biological Processes (2013) — 66 citations
- Tissue-Specific Functional Networks for Prioritizing Phenotype and Disease Genes (2012) — 154 citations
- Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms (2020) — 345 citations
- Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging. (2018) — 443 citations
- Predicting human olfactory perception from chemical features of odor molecules (2017) — 307 citations