Result 1 to 20 of 41 total
Speeding up Bayesian HMM by the four Russians method. (English)
Przytycka, Teresa M. (ed.) et al., Algorithms in bioinformatics. 11th international workshop, WABI 2011, Saarbrücken, Germany, September 5‒7, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-23037-0/pbk). Lecture Notes in Computer Science 6833. Lecture Notes in Bioinformatics, 188-200 (2011).
1
Exploiting prior knowledge and gene distances in the analysis of tumor expression profiles with extended hidden Markov models. (English)
Bioinformatics 27, No. 12, 1645-1652 (2011).
2
Classifying short gene expression time-courses with Bayesian estimation of piecewise constant functions. (English)
Bioinformatics 27, No. 7, 946-952 (2011).
3
Selecting oligonucleotide probes for whole-genome tiling arrays with a cross-hybridization potential (English)
IEEE/ACM Trans. Comput. Biology Bioinform. 8, No. 6, 1642-1652 (2011).
4
Speeding up Bayesian HMM by the four russians method (English)
WABI, 188-200 (2011).
5
Pymix - the python mixture package - a tool for clustering of heterogeneous biological data. (English)
BMC Bioinform. 11, 9 (2010).
6
CATBox. An interactive course in combinatorial optimization. (English)
Berlin: Springer (ISBN 978-3-540-14887-6/pbk; 978-3-642-03822-8/ebook). ix, 190~p. EUR~53.45 (2010).
7
Constrained mixture estimation for analysis and robust classification of clinical time series. (English)
Bioinformatics 25, No. 12 (2009).
8
New, improved, and practical k-stem sequence similarity measures for probe design (English)
Journal of Computational Biology 15, No. 5, 525-534 (2008).
9
Efficient algorithms for the computational design of optimal tiling arrays (English)
IEEE/ACM Trans. Comput. Biology Bioinform. 5, No. 4, 557-567 (2008).
10
Inferring differentiation pathways from gene expression (English)
ISMB, 156-164 (2008).
11
Ranking and selecting clustering algorithms using a meta-learning approach (English)
IJCNN, 3729-3735 (2008).
12
Comparative study on normalization procedures for cluster analysis of gene expression datasets (English)
IJCNN, 2792-2798 (2008).
13
German Conference on Bioinformatics GCB 2007 September 26-28, 2007, Potsdam, Germany. (German)
GI-Edition - Lecture Notes in Informatics (LNI), P-115. Bonner Köllen Verlag (ISBN 978-3-88579-209-3). (2007).
14
Context-specific independence mixture modelling for protein families. (English)
Kok, Joost N. (ed.) et al., Knowledge discovery in databases: PKDD 2007. 11th European conference on principles and practice of knowledge discovery in databases, Warsaw, Poland, September 17‒21, 2007. Proceedings. Berlin: Springer (ISBN 978-3-540-74975-2/pbk). Lecture Notes in Computer Science 4702. Lecture Notes in Artificial Intelligence, 79-90 (2007).
15
Identifying protein complexes directly from high-throughput TAP data with Markov random fields. (English)
BMC Bioinform. 8, No. 1, 482 (2007).
16
Context-specific independence mixture modelling for protein families (English)
PKDD, 79-90 (2007).
17
Detecting functional modules from heterogenous mass data (English)
LWA, 9 (2007).
18
Efficient computational design of tiling arrays using a shortest path approach (English)
WABI, 383-394 (2007).
19
Validating gene clusterings by selecting informative gene ontology terms with mutual information (English)
BSB, 81-92 (2007).
20
Result 1 to 20 of 41 total
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