Следене
Michal Linial
Заглавие
Позовавания
Позовавания
Година
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
47272000
Insights into social insects from the genome of the honeybee Apis mellifera
Honeybee Genome Sequencing Consortium
Nature 443 (7114), 931, 2006
2072*2006
Proteoform: a single term describing protein complexity
LM Smith, NL Kelleher
Nature methods 10 (3), 186-187, 2013
16042013
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
11432013
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
6672022
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
4492016
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
4402019
Vesicular neurotransmitter transporters: from bacteria to humans.
S Schuldiner, A Shirvan, M Linial
Physiological reviews 75 (2), 369-392, 1995
3841995
The language of proteins: NLP, machine learning & protein sequences
D Ofer, N Brandes, M Linial
Computational and Structural Biotechnology Journal 19, 1750-1758, 2021
3252021
Protein function annotation by homology-based inference
Y Loewenstein, D Raimondo, OC Redfern, J Watson, D Frishman, ...
Genome biology 10, 1-8, 2009
2782009
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
2752009
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
2251993
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
2202002
Novel unsupervised feature filtering of biological data
R Varshavsky, A Gottlieb, M Linial, D Horn
Bioinformatics 22 (14), e507-e513, 2006
2172006
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
2122000
Cellular and molecular biology of the presynaptic nerve terminal
WS Trimble, M Linial, RH Scheller
Annual review of neuroscience 14 (1), 93-122, 1991
1981991
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
1831999
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
1792020
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
1742008
ProtoMap: automatic classification of protein sequences, a hierarchy of protein families, and local maps of the protein space
G Yona, N Linial, M Linial
Proteins: Structure, Function, and Bioinformatics 37 (3), 360-378, 1999
1541999
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Статии 1–20