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programming applications » processing applications
applications programming » application programming, application program, applications proceedings
programming sequence » programming sequences, programming sequential, programming reference
sequence microarrays » sequences microarray, sequencing microarrays, frequency microarray
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programming applications » processing applications
applications programming » application programming, application program, applications proceedings
programming sequence » programming sequences, programming sequential, programming reference
sequence microarrays » sequences microarray, sequencing microarrays, frequency microarray
https » http
1
Published 2005
Table of Contents:
“...EvoBIO Contributions -- Evolutionary Biclustering of Microarray Data -- A Fuzzy Viterbi Algorithm...”View full text
Electronic
eBook
2
Published 2008
Table of Contents:
“... Expensive Functions -- Discriminant Analysis Methods for Microarray Data Classification...”View full text
Electronic
eBook
3
Published 2008
Table of Contents:
“... Quasispecies Assembly Using Network Flows -- A Dynamic Programming Algorithm for De Novo Peptide Sequencing...”View full text
Electronic
eBook
4
Published 2007
Table of Contents:
“... Microarrays -- Multiple Sequence Local Alignment Using Monte Carlo EM Algorithm -- Cancer Class Discovery...”View full text
Electronic
eBook
5
Published 2008
Table of Contents:
“... by First Order Functional Programs -- The Structure of Detour Degrees -- Hamiltonicity of Matching...”View full text
Electronic
eBook
6
Published 2011
Table of Contents:
“...Applications -- Clinical & Diagnosis & Drugs -- Genomics & Phylogenetics & Sequencing...”View full text
Electronic
eBook
7
Published 2013
Table of Contents:
“...Sequencing and Microarray -- Analysis -- Tools....”View full text
Electronic
eBook
8
Published 2010
Table of Contents:
“... in Systems Biology: Modeling Gene Networks in Time Series Microarray Data Using Vector Autoregressive Models...”View full text
Electronic
eBook
9
Published 2008
Table of Contents:
“... to the Median Problem -- Read Mapping Algorithms for Single Molecule Sequencing Data -- Exact Transcriptome...”View full text
Electronic
eBook
10
Published 2010
Table of Contents:
“... to Predict Genomic Sequences and Characterize Their Entropy -- Biomedical Applications -- Structure Based...”View full text
Electronic
eBook
11
Published 2006
Table of Contents:
“... Syndromes -- OVA Scheme vs. Single Machine Approach in Feature Selection for Microarray Datasets...”View full text
Electronic
eBook
12
Published 2007
Table of Contents:
“... Residue Binding Propensity and Sequence Entropy -- Use of Parallel Simulated Annealing for Computational...”View full text
Electronic
eBook
13
Published 2006
Table of Contents:
“... Sequences -- A Natural Interface for Sign Language Mathematics -- A Novel Gait Recognition Method Via Fusing...”View full text
Electronic
eBook
14
Published 2005
Table of Contents:
“... Multiscale Matching -- Efficient Causal Interaction Learning with Applications in Microarray -- A Dynamic...”View full text
Electronic
eBook
15
Published 2005
Table of Contents:
“... Selection -- Gene Selection of DNA Microarray Data Based on Regularization Networks -- Application...”View full text
Electronic
eBook
16
Published 2007
Table of Contents:
“... Discriminants in the Logical Analysis of Data -- Exploring Microarray Data with Correspondence Analysis...”View full text
Electronic
eBook
17
Published 2006
Table of Contents:
“... for Robotic Control -- The Solution of Semi-Infinite Linear Programs Using Boosting-Like Methods -- Spectral...”View full text
Electronic
eBook
18
Published 2007
Table of Contents:
“... Augmented Naive Bayes for Regression Using Mixtures of Truncated Exponentials: Application to Higher...”View full text
Electronic
eBook
19
Published 2014
Table of Contents:
“...Recent Advances in DC Programming and DCA -- Nature-Inspired Intelligent Optimisation Using...”View full text
Electronic
eBook
20
Published 2005
Table of Contents:
“... Statistical Biases in Unsupervised Sequence Learning -- Learning from Ambiguously Labeled Examples -- Learning...”View full text
Electronic
eBook



