Identifying remote protein homologs by network propagation
By William Stafford Noble, Rui Kuang, Christina S. Leslie, Jason Aaron Edward Weston. 2005
37 citations recorded by the source corpus.
Subfields: Molecular Biology, Statistical and Nonlinear Physics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Roded Sharan
- Michael Heinzinger
- Christian Dallago
- Ahmed Elnaggar
- Yu Wang
- Florian Matthes
- Trey Ideker
- Dmitrii Nachaev
In Statistical and Nonlinear Physics
Citations in the corpus
- Modeling aspects of the language of life through transfer-learning protein sequences (2019, methodology): “This concept resembles that of using k-mers for database searches [33], clustering [81], motifs [82, 83], and prediction methods [72, 76, 84 – 88].”
- Modeling the language of life – Deep Learning Protein Sequences (2019, methodology): “This concept resembles 24 that of using k-mers for database searches [33], clustering [74], motifs [75, 76], and prediction 25 methods [66, 70, 77-81].”
- Network propagation: a universal amplifier of genetic associations (2017, background): “A network module, the member genes of which are associated with a particular disease. applications, including gene function prediction 6,21 , module discovery 22 , disease characterization 23,24 and drug target prediction 25 .”
- ROC analysis: applications to the classification of biological sequences and 3D structures (2008, methodology): “Pairwise comparison Protein sequence Nearest neighbor Sequence alignment score [38, 56, 57] Protein structure Nearest neighbor VAST score, SHEBA score [58, 59]”