Using Bayesian networks to analyze expression data N Friedman, M Linial, I Nachman, D Pe'er Proceedings of the fourth annual international conference on Computational …, 2000 | 4653 | 2000 |
Insights into social insects from the genome of the honeybee Apis mellifera Honeybee Genome Sequencing Consortium Nature 443 (7114), 931, 2006 | 2032* | 2006 |
Proteoform: a single term describing protein complexity LM Smith, NL Kelleher Nature methods 10 (3), 186-187, 2013 | 1509 | 2013 |
A large-scale evaluation of computational protein function prediction P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ... Nature methods 10 (3), 221-227, 2013 | 1064 | 2013 |
An expanded evaluation of protein function prediction methods shows an improvement in accuracy Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ... Genome biology 17, 1-19, 2016 | 416 | 2016 |
ProteinBERT: a universal deep-learning model of protein sequence and function N Brandes, D Ofer, Y Peleg, N Rappoport, M Linial Bioinformatics 38 (8), 2102-2110, 2022 | 409 | 2022 |
Vesicular neurotransmitter transporters: from bacteria to humans. S Schuldiner, A Shirvan, M Linial Physiological reviews 75 (2), 369-392, 1995 | 376 | 1995 |
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ... Genome biology 20, 1-23, 2019 | 368 | 2019 |
Protein function annotation by homology-based inference Y Loewenstein, D Raimondo, OC Redfern, J Watson, D Frishman, ... Genome biology 10, 1-8, 2009 | 271 | 2009 |
Viral adaptation to host: a proteome‐based analysis of codon usage and amino acid preferences I Bahir, M Fromer, Y Prat, M Linial Molecular systems biology 5 (1), 311, 2009 | 265 | 2009 |
The language of proteins: NLP, machine learning & protein sequences D Ofer, N Brandes, M Linial Computational and Structural Biotechnology Journal 19, 1750-1758, 2021 | 252 | 2021 |
Brain contains two forms of synaptic vesicle protein 2. SM Bajjalieh, K Peterson, M Linial, RH Scheller Proceedings of the National Academy of Sciences 90 (6), 2150-2154, 1993 | 228 | 1993 |
Polysaccharide− oligoamine based conjugates for gene delivery T Azzam, H Eliyahu, L Shapira, M Linial, Y Barenholz, AJ Domb Journal of medicinal chemistry 45 (9), 1817-1824, 2002 | 218 | 2002 |
Novel unsupervised feature filtering of biological data R Varshavsky, A Gottlieb, M Linial, D Horn Bioinformatics 22 (14), e507-e513, 2006 | 215 | 2006 |
ProtoMap: automatic classification of protein sequences and hierarchy of protein families G Yona, N Linial, M Linial Nucleic acids research 28 (1), 49-55, 2000 | 213 | 2000 |
Cellular and molecular biology of the presynaptic nerve terminal WS Trimble, M Linial, RH Scheller Annual review of neuroscience 14 (1), 93-122, 1991 | 196 | 1991 |
Nonlinear optical measurement of membrane potential around single molecules at selected cellular sites G Peleg, A Lewis, M Linial, LM Loew Proceedings of the National Academy of Sciences 96 (12), 6700-6704, 1999 | 183 | 1999 |
Research in computational molecular biology J Huang, Q Morris, B Frey Detecting microRNA targets by linking sequence, microRNA and gene expression …, 2006 | 175 | 2006 |
The SARS-CoV-2 exerts a distinctive strategy for interacting with the ACE2 human receptor ES Brielle, D Schneidman-Duhovny, M Linial Viruses 12 (5), 497, 2020 | 170 | 2020 |
Efficient algorithms for accurate hierarchical clustering of huge datasets: tackling the entire protein space Y Loewenstein, E Portugaly, M Fromer, M Linial Bioinformatics 24 (13), i41-i49, 2008 | 170 | 2008 |