Michal Linial

	2009
30		Guy Naamati, Manor Askenazi, Michal Linial: ClanTox: a classifier of short animal toxins. Nucleic Acids Research 37(Web-Server-Issue): 363-368 (2009)
	2008
29		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
28		Yaniv Loewenstein, Michal Linial: Connect the dots: exposing hidden protein family connections from the entire sequence tree. ECCB 2008: 193-199
27		Yaniv 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
26		Roy Varshavsky, David Horn, Michal Linial: Clustering Algorithms Optimizer: A Framework for Large Datasets. ISBRA 2007: 85-96
25		Roy 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
24		Roy Varshavsky, Assaf Gottlieb, David Horn, Michal Linial: Unsupervised feature selection under perturbations: meeting the challenges of biological data. Bioinformatics 23(24): 3343-3349 (2007)
23		Elon Portugaly, Nathan Linial, Michal Linial: EVEREST: a collection of evolutionary conserved protein domains. Nucleic Acids Research 35(Database-Issue): 241-246 (2007)
	2006
22		Roy Varshavsky, Assaf Gottlieb, Michal Linial, David Horn: Novel Unsupervised Feature Filtering of Biological Data. ISMB (Supplement of Bioinformatics) 2006: 507-513
21		Elon Portugaly, Amir Harel, Nathan Linial, Michal Linial: EVEREST: automatic identification and classification of protein domains in all protein sequences. BMC Bioinformatics 7: 277 (2006)
20		Michal Linial: The Secrets of a Functional Synapse - From a Computational and Experimental Viewpoint. BMC Bioinformatics 7(S-1): (2006)
	2005
19		Tali 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
18		Roy Varshavsky, Michal Linial, David Horn: COMPACT: A Comparative Package for Clustering Assessment. ISPA Workshops 2005: 159-167
17		Noam Kaplan, Michal Linial: Automatic detection of false annotations via binary property clustering. BMC Bioinformatics 6: 46 (2005)
16		Ilona Kifer, Ori Sasson, Michal Linial: Predicting fold novelty based on ProtoNet hierarchical classification. Bioinformatics 21(7): 1020-1027 (2005)
15		Noam 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)
14		Iris Bahir, Michal Linial: ProTeus: identifying signatures in protein termini. Nucleic Acids Research 33(Web-Server-Issue): 277-280 (2005)
13		Ori Sasson, Michal Linial: ProTarget: automatic prediction of protein structure novelty. Nucleic Acids Research 33(Web-Server-Issue): 81-84 (2005)
	2004
12		Noam 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
9		Yonatan 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
6		Yonatan Bilu, Michal Linial: On the predictive power of sequence similarity in yeast. RECOMB 2001: 39-48
	2000
5		Nir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er: Using Bayesian networks to analyze expression data. RECOMB 2000: 127-135
4		Elon 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

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

Colors in the list of coauthors