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Geroscience|August 27, 2025
Integrative machine learning approach to risk prediction for dementia and Alzheimer's diseaseAmos Stern, Michal LinialFEBS Letters|November 6, 2004
Evolutional insights on uncharacterized SARS coronavirus genesAlex Inberg, Michal LinialBioinformatics (Oxford, England)|August 12, 2008
Connect the dots: exposing hidden protein family connections from the entire sequence treeYaniv Loewenstein, Michal LinialJournal of Computational Biology : a Journal of Computational Molecular Cell Biology|May 23, 2002
The advantage of functional prediction based on clustering of yeast genes and its correlation with non-sequence based classificationsYonatan Bilu, Michal LinialBioinformatics (Oxford, England)|June 18, 2005
Families of membranous proteins can be characterized by the amino acid composition of their transmembrane domainsTali Sadka, Michal LinialBioinformatics (Oxford, England)|December 17, 2013
NeuroPID: a predictor for identifying neuropeptide precursors from metazoan proteomesDan Ofer, Michal LinialDatabase : the Journal of Biological Databases and Curation|April 26, 2015
ProtoBug: functional families from the complete proteomes of insectsNadav Rappoport, Michal LinialMethods in Molecular Biology (Clifton, N.J.)|August 30, 2025
Machine Learning for Detecting and Analyzing Chromoanagenesis EventsRoni Rasnic, Michal LinialNucleic Acids Research|June 28, 2005
ProTarget: automatic prediction of protein structure noveltyOri Sasson, Michal LinialPageof 17