Fakultät für Informatik
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Technische Universität München
Lehrstuhl für Effiziente Algorithmen
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Susceptibility of the human pathways graphs to fragmentation by small sets of microRNAs
Guy Naamati
,
Yitzhak Friedman
,
Ohad Balaga
,
Michal Linial
Bioinformatics
28
(7), 2012, pp. 983-990
Paving the future: Finding suitable ISMB venues
Burkhard Rost
,
Terry Gaasterland
,
Thomas Lengauer
,
Michal Linial
,
Scott Markel
,
B.J. Morrison McKay
,
Reinhard Schneider
,
Paul Horton
,
Janet Kelso
Bioinformatics
28
(19), 2012, pp. 2556-2559
Recovering key biological constituents through sparse representation of gene expression
Yosef Prat
,
Menachem Fromer
,
Nathan Linial
,
Michal Linial
Bioinformatics
27
(5), 2011, pp. 655-661
Geometric interpretation of gene expression by sparse reconstruction of transcript profiles
Yosef Prat
,
Menachem Fromer
,
Michal Linial
,
Nathan Linial
LNCS/LNBI
6577
, 2011, pp. 355-357
Generative probabilistic models for protein-protein interaction networks - The biclique perspective
Regev Schweiger
,
Michal Linial
,
Nathan Linial
Bioinformatics
27
(13), 2011, pp. 142-148
MiRror: A combinatorial analysis web tool for ensembles of microRNAs and their targets
Yitzhak Friedman
,
Guy Naamati
,
Michal Linial
Bioinformatics
26
(15), 2010, pp. 1920-1921
Exposing the co-adaptive potential of protein-protein interfaces through computational sequence design
Menachem Fromer
,
Michal Linial
Bioinformatics
26
(18), 2010, pp. 2266-2272
SPRINT: Side-chain prediction inference toolbox for multistate protein design
Menachem Fromer
,
Chen Yanover
,
Amir Harel
,
Ori Shachar
,
Yair Weiss
,
Michal Linial
Bioinformatics
26
(19), 2010, pp. 2466-2467
A predictor for toxin-like proteins exposes cell modulator candidates within viral genomes
Guy Naamati
,
Manor Askenazi
,
Michal Linial
Bioinformatics
26
(18), 2010, pp. 482-488
Connect the dots: Exposing hidden protein family connections from the entire sequence tree
Yaniv Loewenstein
,
Michal Linial
Bioinformatics
24
(16), 2008, pp. 193-199
Efficient algorithms for accurate hierarchical clustering of huge datasets: Tackling the entire protein space
Yaniv Loewenstein
,
Elon Portugaly
,
Menachem Fromer
,
Michal Linial
Bioinformatics
24
(13), 2008, pp. 41-49
Unsupervised feature selection under perturbations: Meeting the challenges of biological data
Roy Varshavsky
,
Assaf Gottlieb
,
David Horn
,
Michal Linial
Bioinformatics
23
(24), 2007, pp. 3343-3349
Novel Unsupervised Feature Filtering of Biological Data
Roy Varshavsky
,
Assaf Gottlieb
,
Michal Linial
,
David Horn
Bioinformatics
22
(14), 2006, pp. 507-513
Predicting fold novelty based on ProtoNet hierarchical classification
Ilona Kifer
,
Ori Sasson
,
Michal Linial
Bioinformatics
21
(7), 2005, pp. 1020-1027
Families of membranous proteins can be characterized by the amino acid composition of their transmembrane domains
Tali Sadka
,
Michal Linial
Bioinformatics
21
(S1), 2005, pp. 378-386
Locating transcription factors binding sites using a variable memory Markov model
Yonatan Bilu
,
Michal Linial
,
Noam Slonim
,
Naftali Tishby
Technical Report (2002-27), 2002
Selecting targets for structural determination by navigating in a graph of protein families
Elon Portugaly
,
Ilona Kifer
,
Michal Linial
Bioinformatics
18
(7), 2002, pp. 899-907
The metric space of proteins - Comparative study of clustering algorithms
Ori Sasson
,
Nathan Linial
,
Michal Linial
Bioinformatics
18
(S1), 2002, pp. 14-21
Locating transcription factors binding sites using a variable memory Markov model
Yonatan Bilu
,
Michal Linial
,
Noam Slonim
,
Naftali Tishby
Technical Report (2001-51), 2001
Using Bayesian network to analyze expression data
Nir Friedman
,
Michal Linial
,
Iftach Nachman
,
Dana Pe'er
Technical Report (2000-54), 2000
Using Bayesian networks to analyze expression data
Nir Friedman
,
Michal Linial
,
Iftach Nachman
,
Dana Pe'er
Proceedings of the 4th Annual International Conference on Computational Molecular Biology, RECOMB'2000 (Tokyo, Japan, April 8-11, 2000)
, 2000, pp. 127-135
Probabilities for having a new fold on the basis of a map of all protein sequences
Elon Portugaly
,
Michal Linial
Proceedings of the 4th Annual International Conference on Computational Molecular Biology, RECOMB'2000 (Tokyo, Japan, April 8-11, 2000)
, 2000, pp. 237-244
A map of the protein space - An automatic hierarchical classification of all protein sequences
Golan Yona
,
Nathan Linial
,
Naftali Tishby
,
Michal Linial
Proceedings of the 6th International Conference on Intelligent Systems for Molecular Biology, ISMB'98 (Montréal, Canada, June 28 - July 1, 1998)
, 1998, pp. 212-221
On the predictive power of sequence similarity in yeast
Yonatan Bilu
,
Michal Linial
Proceedings of the 5th Annual International Conference on Computational Molecular Biology, RECOMB'2001 (Montreal, Canada, April 22-25, 2001)
, pp. 39-48