Probabilistic model of the human protein-protein interaction network
By Daniel R. Rhodes, S. Tomlins, S. Varambally, Vasudeva Mahavisno, T. Barrette, Shanker Kalyana-Sundaram, Debashis Ghosh, Akhilesh Pandey, Arul M. Chinnaiyan. Nature Biotechnology, 2005
453 citations recorded by the source corpus.
Subfields: Molecular Biology, Spectroscopy
View Paper: https://www.semanticscholar.org/paper/e69b260f53f42ee0d2adecf092b68f1907addf7b
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Casey S. Greene
- Christopher Y. Park
- Yuanfang Guan
- Olga G. Troyanskaya
- Edward M. Marcotte
- Michael Ashburner
- Rebecca D. Burdine
- Jessica Rowland
In Spectroscopy
Citations in the corpus
- How complete are current yeast and human protein-interaction networks? (2006, methodology): “However, comparison of the Rual et al. [14] data with those of Lehner and Fraser [40] and Rhodes et al. [ 23 ] yielded consistent false-positive estimates, suggesting that reference bias is minimal (Table 3). The human interactome estimates generated from these pairs of datasets are shown in Table 4”
- FlyMine: an integrated database for Drosophila and Anopheles genomics (2007, background): “A recent analysis integrated protein interactions, protein domain models, gene expression data and functional annotations to predict nearly 40,000 protein-protein interactions in humans [9].”
- Yeast Two-Hybrid, a Powerful Tool for Systems Biology (2009, unknown): “Experimental Y2H data have been a crucial part in establishing large synthetic human interactomes [25,26] or to dissect mechanisms in human disease [27].”
- Functional Knowledge Transfer for High-accuracy Prediction of Under-studied Biological Processes (2013, methodology): “Previous methods have focused on incorporating functional genomic data primarily as input data [66–69].”
- Prioritizing candidate disease genes by network-based boosting of genome-wide association data. (2011, background): “1999) and may have corresponding measures of confidence (Troyanskaya et al. 2003; Lee et al. 2004; Rhodes et al. 2005; Alexeyenko and Sonnhammer 2009; Jensen et al. 2009).”
- A Census of Human Soluble Protein Complexes (2012, unknown): “Althoughbioinformatics analyseshavebeenused topredict evolutionarily conserved human protein-protein interactions (PPIs) on a large scale (Ramani et al., 2008; Rhodes et al., 2005), most of these associations remain to be verified experimentally.”