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Michal Linial Vis

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*2009
29EEGuy Naamati, Manor Askenazi, Michal Linial: ClanTox: a classifier of short animal toxins. Nucleic Acids Research 37(Web-Server-Issue): 363-368 (2009)
2008
28 Mourad Elloumi, Josef Küng, Michal Linial, Robert F. Murphy, Kristan Schneider, Cristian Toma: Bioinformatics Research and Development, Second International Conference, BIRD 2008, Vienna, Austria, July 7-9, 2008, Proceedings Springer 2008
27EEYaniv Loewenstein, Michal Linial: Connect the dots: exposing hidden protein family connections from the entire sequence tree. ECCB 2008: 193-199
26EEYaniv Loewenstein, Elon Portugaly, Menachem Fromer, Michal Linial: Efficient algorithms for accurate hierarchical clustering of huge datasets: tackling the entire protein space. ISMB 2008: 41-49
2007
25EERoy Varshavsky, David Horn, Michal Linial: Clustering Algorithms Optimizer: A Framework for Large Datasets. ISBRA 2007: 85-96
24EERoy Varshavsky, Menachem Fromer, Amit Man, Michal Linial: When Less Is More: Improving Classification of Protein Families with a Minimal Set of Global Features. WABI 2007: 12-24
23EERoy Varshavsky, Assaf Gottlieb, David Horn, Michal Linial: Unsupervised feature selection under perturbations: meeting the challenges of biological data. Bioinformatics 23(24): 3343-3349 (2007)
22EEElon Portugaly, Nathan Linial, Michal Linial: EVEREST: a collection of evolutionary conserved protein domains. Nucleic Acids Research 35(Database-Issue): 241-246 (2007)
2006
21EERoy Varshavsky, Assaf Gottlieb, Michal Linial, David Horn: Novel Unsupervised Feature Filtering of Biological Data. ISMB (Supplement of Bioinformatics) 2006: 507-513
20EEMichal Linial: The Secrets of a Functional Synapse - From a Computational and Experimental Viewpoint. BMC Bioinformatics 7(S-1): (2006)
2005
19EETali Sadka, Michal Linial: Families of membranous proteins can be characterized by the amino acid composition of their transmembrane domains. ISMB (Supplement of Bioinformatics) 2005: 378-386
18EERoy Varshavsky, Michal Linial, David Horn: COMPACT: A Comparative Package for Clustering Assessment. ISPA Workshops 2005: 159-167
17EENoam Kaplan, Michal Linial: Automatic detection of false annotations via binary property clustering. BMC Bioinformatics 6: 46 (2005)
16EEIlona Kifer, Ori Sasson, Michal Linial: Predicting fold novelty based on ProtoNet hierarchical classification. Bioinformatics 21(7): 1020-1027 (2005)
15EENoam Kaplan, Ori Sasson, Uri Inbar, Moriah Friedlich, Menachem Fromer, Hillel Fleischer, Elon Portugaly, Nathan Linial, Michal Linial: ProtoNet 4.0: A hierarchical classification of one million protein sequences. Nucleic Acids Research 33(Database-Issue): 216-218 (2005)
14EEIris Bahir, Michal Linial: ProTeus: identifying signatures in protein termini. Nucleic Acids Research 33(Web-Server-Issue): 277-280 (2005)
13EEOri Sasson, Michal Linial: ProTarget: automatic prediction of protein structure novelty. Nucleic Acids Research 33(Web-Server-Issue): 81-84 (2005)
2004
12EENoam Kaplan, Moriah Friedlich, Menachem Fromer, Michal Linial: A functional hierarchical organization of the protein sequence space. BMC Bioinformatics 5: 196 (2004)
2003
11 Ori Sasson, Avishay Vaaknin, Hillel Fleischer, Elon Portugaly, Yonatan Bilu, Nathan Linial, Michal Linial: ProtoNet: hierarchical classification of the protein space. Nucleic Acids Research 31(1): 348-352 (2003)
2002
10 Ori Sasson, Nathan Linial, Michal Linial: The metric space of proteins-comparative study of clustering algorithms. ISMB 2002: 14-21
9EEYonatan Bilu, Michal Linial: Functional Consequences in Metabolic Pathways from Phylogenetic Profiles. WABI 2002: 263-276
8 Elon Portugaly, Ilona Kifer, Michal Linial: Selecting targets for structural determination by navigating in a graph of protein families. Bioinformatics 18(7): 899-907 (2002)
7 Yonatan Bilu, Michal Linial: The Advantage of Functional Prediction Based on Clustering of Yeast Genes and Its Correlation with Non-Sequence Based Classifications. Journal of Computational Biology 9(2): 193-210 (2002)
2001
6EEYonatan Bilu, Michal Linial: On the predictive power of sequence similarity in yeast. RECOMB 2001: 39-48
2000
5EENir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er: Using Bayesian networks to analyze expression data. RECOMB 2000: 127-135
4EEElon Portugaly, Michal Linial: Probabilities for having a new fold on the basis of a map of all protein sequences. RECOMB 2000: 237-244
3 Nir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er: Using Bayesian Networks to Analyze Expression Data. Journal of Computational Biology 7(3-4): 601-620 (2000)
2 Golan Yona, Nathan Linial, Michal Linial: ProtoMap: automatic classification of protein sequences and hierarchy of protein families. Nucleic Acids Research 28(1): 49-55 (2000)
1998
1 Golan Yona, Nathan Linial, Naftali Tishby, Michal Linial: A Map of the Protein Space: An Automatic Hierarchical Classification of all Protein Sequences. ISMB 1998: 212-221

Coauthor Index

1Manor Askenazi [29]
2Iris Bahir [14]
3Yonatan Bilu [6] [7] [9] [11]
4Mourad Elloumi [28]
5Hillel Fleischer [11] [15]
6Moriah Friedlich [12] [15]
7Nir Friedman [3] [5]
8Menachem Fromer [12] [15] [24] [26]
9Assaf Gottlieb [21] [23]
10David Horn [18] [21] [23] [25]
11Uri Inbar [15]
12Noam Kaplan [12] [15] [17]
13Ilona Kifer [8] [16]
14Josef Küng [28]
15Nathan Linial (Nati Linial) [1] [2] [10] [11] [15] [22]
16Yaniv Loewenstein [26] [27]
17Amit Man [24]
18Robert F. Murphy [28]
19Guy Naamati [29]
20Iftach Nachman [3] [5]
21Dana Pe'er [3] [5]
22Elon Portugaly [4] [8] [11] [15] [22] [26]
23Tali Sadka [19]
24Ori Sasson [10] [11] [13] [15] [16]
25Kristan Schneider [28]
26Naftali Tishby [1]
27Cristian Toma [28]
28Avishay Vaaknin [11]
29Roy Varshavsky [18] [21] [23] [24] [25]
30Golan Yona [1] [2]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)