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Toward an understanding of the protein interaction network of the human liver., , , , , , , , , and 28 other author(s). Molecular systems biology, (Oct 11, 2011)SigFlux: A novel network feature to evaluate the importance of proteins in signal transduction networks., , , , and . BMC Bioinform., (2006)Reconstruction of Signaling Network from Protein Interactions Based on Function Annotations., , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 10 (2): 514-521 (2013)PANDA: A comprehensive and flexible tool for quantitative proteomics data analysis., , , , , , , and . Bioinform., 35 (5): 898-900 (2019)A new technique for selecting features from protein sequences., , , , and . IJPRAI, 20 (2): 271-283 (2006)A novel parametric approach to mine gene regulatory relationship from microarray datasets., , , , and . BMC Bioinform., 11 (S-11): S15 (2010)The ProteomeXchange consortium in 2020: enabling 'big data' approaches in proteomics., , , , , , , , , and 11 other author(s). Nucleic Acids Res., 48 (Database-Issue): D1145-D1152 (2020)Protein interaction networks of Saccharomyces cerevisiae, Caenorhabditis elegans and Drosophila melanogaster: Large-scale organization and robustness, , , , , , , , and . PROTEOMICS, (xx 2006)Using NMFAS to identify key biological pathways associated with human diseases., , , , and . ISB, page 79-85. IEEE, (2012)Improving protein secondary structure prediction by using the residue conformational classes., , , and . Pattern Recognit. Lett., 26 (15): 2346-2352 (2005)