Input Matrices
Mostrando 13-24 de 25 artigos, teses e dissertações.
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13. Mixed H2 / H Infinity control through linear inequalities for flexible structures vibration reduction / Controle H2 / H Infinito via desigualdades matriciais lineares para atenuação de vibrações em estruturas flexiveis
This work has the goal to verify the action of a mixed H2/ Hoo control formulation through output feedback for a structure modelIed in finite elements. Therefore, the pure H2 and Hoo control formulations through output feedback are also verified to validate the described equations in this work for the mixed control and show a reference to their expected resu
Publicado em: 2005
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14. Investimento industrial no Brasil nos anos noventa
This work ana1yzes the Brazilian manufacturing industry investment behavior since the Nineties under the macroeconomic and microeconomic perspectives. The work shows impeditive factors for the economic growth through textual and statistical information. Input-output and imports matrices were constructed for analyzing the data of the activity sectors and its
Publicado em: 2004
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15. Um ambiente para avaliação de algoritmos de aprendizado de máquina simbólico utilizando exemplos. / An environment to evaluate machine learning algorithms.
A learning system is a computer program that makes decisions based on the accumulative experience contained in successfully solved cases. The classification rules induced by a learning system are judged by two criteria: their classification error on an independent test set and their complexity. Practical learning systems have been developed using different p
Publicado em: 1997
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16. Dynamic searching in the brain
Cognitive functions rely on the extensive use of information stored in the brain, and the searching for the relevant information for solving some problem is a very complex task. Human cognition largely uses biological search engines, and we assume that to study cognitive function we need to understand the way these brain search engines work. The approach we
Springer Netherlands.
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17. A suite of web-based programs to search for transcriptional regulatory motifs
The identification of regulatory motifs is important for the study of gene expression. Here we present a suite of programs that we have developed to search for regulatory sequence motifs: (i) BioProspector, a Gibbs-sampling-based program for predicting regulatory motifs from co-regulated genes in prokaryotes or lower eukaryotes; (ii) CompareProspector, an ex
Oxford University Press.
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18. DBTBS: database of transcriptional regulation in Bacillus subtilis and its contribution to comparative genomics
DBTBS (http://dbtbs.hgc.jp) was originally released in 1999 as a reference database of published transcriptional regulation events in Bacillus subtilis, one of the best studied bacteria. It is essentially a compilation of transcription factors with their regulated genes as well as their recognition sequences, which were experimentally characterized and repor
Oxford University Press.
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19. CREME: Cis-Regulatory Module Explorer for the human genome
The binding of transcription factors to specific regulatory sequence elements is a primary mechanism for controlling gene transcription. Eukaryotic genes are often regulated by several transcription factors whose binding sites are tightly clustered and form cis-regulatory modules. In this paper, we present a web server, CREME, for identifying and visualizing
Oxford University Press.
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20. Osprey: a comprehensive tool employing novel methods for the design of oligonucleotides for DNA sequencing and microarrays
We have developed a software package called Osprey for the calculation of optimal oligonucleotides for DNA sequencing and the creation of microarrays based on either PCR-products or directly spotted oligomers. It incorporates a novel use of position-specific scoring matrices, for the sensitive and specific identification of secondary binding sites anywhere i
Oxford University Press.
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21. A soft-modeling approach to interpret thermodynamic and conformational transitions of polynucleotides.
Multivariate outputs from the experimental monitoring of biochemical processes are usually difficult to interpret applying methods based on a priori chemical models. Curve resolution methods are model-free procedures, generally known as soft-modeling methods, which obtain the concentration profiles and instrumental responses of each individual species involv
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22. Analysis of Molecular Variance Inferred from Metric Distances among DNA Haplotypes: Application to Human Mitochondrial DNA Restriction Data
We present here a framework for the study of molecular variation within a single species. Information on DNA haplotype divergence is incorporated into an analysis of variance format, derived from a matrix of squared-distances among all pairs of haplotypes. This analysis of molecular variance (AMOVA) produces estimates of variance components and F-statistic a
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23. Scansite 2.0: proteome-wide prediction of cell signaling interactions using short sequence motifs
Scansite identifies short protein sequence motifs that are recognized by modular signaling domains, phosphorylated by protein Ser/Thr- or Tyr-kinases or mediate specific interactions with protein or phospholipid ligands. Each sequence motif is represented as a position-specific scoring matrix (PSSM) based on results from oriented peptide library and phage di
Oxford University Press.
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24. LSimpute: accurate estimation of missing values in microarray data with least squares methods
Microarray experiments generate data sets with information on the expression levels of thousands of genes in a set of biological samples. Unfortun ately, such experiments often produce multiple missing expression values, normally due to various experimental problems. As many algorithms for gene expression analysis require a complete data matrix as input, the
Oxford University Press.