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[PDF] Top 20 Contributions to the statistical analysis of microarray data.

Has 10000 "Contributions to the statistical analysis of microarray data." found on our website. Below are the top 20 most common "Contributions to the statistical analysis of microarray data.".

Contributions to the statistical analysis of microarray data.

Contributions to the statistical analysis of microarray data.

... Evaluation of the non-documented candidate genes under control of a specific TF in GRNs learned from the Gasch data set revealed some biological ...for the GAT1 TF which is know ... Voir le document complet

224

THEA: ontology-driven analysis of microarray data

THEA: ontology-driven analysis of microarray data

... Identification of under and over represented terms For each cluster of transcripts, THEA performs a statistical analysis under the null hypothesis of a uniform distribution ... Voir le document complet

15

Contributions of Statistical Learning to Actuarial Sciences and Financial Risk Management

Contributions of Statistical Learning to Actuarial Sciences and Financial Risk Management

... Introduction The value of public information in agricultural commodity markets has been a topic of great attention for many years in the literature ...with the improvement of ... Voir le document complet

217

Report of the OECD Workshop on Statistical Analysis of Aquatic Toxicity Data

Report of the OECD Workshop on Statistical Analysis of Aquatic Toxicity Data

... species of animal, hardly changes its shape during growth, which implies that its surface area is proportional to the squared volumetric length and its volume to the cubed ...length. ... Voir le document complet

133

The dChip survival analysis module for microarray data.

The dChip survival analysis module for microarray data.

... genomics data, we and others have reported using genome-wide expression sig- natures to predict survival risk, and these signatures are now increasingly being used in treatment decision for several cancer ... Voir le document complet

10

Statistical methods for the integration analysis of -omics data (genomics, epigenomics and transcriptomics): An application to bladder cancer

Statistical methods for the integration analysis of -omics data (genomics, epigenomics and transcriptomics): An application to bladder cancer

... Limitations of this work are the small sample size of the discovery phase study, due to the lack of enough fresh tumor tissue from the same set of ... Voir le document complet

223

Contributions to spatial data analysis and Stein's method

Contributions to spatial data analysis and Stein's method

... functions. The notion of depth was introduced by Zuo and Serfling (2000a) and has been successfully applied in many different contexts such as the detection of outliers ...speaking, the ... Voir le document complet

245

The EADGENE microarray data analysis workshop

The EADGENE microarray data analysis workshop

... from the workshop may at first glance seem contradictory: the real data results were quite di fferent between groups (both in numbers of dif- ferentially expressed genes and gene order) [9] ... Voir le document complet

12

Biclustering of DNA Microarray Data: Theory, Evaluation, and Applications

Biclustering of DNA Microarray Data: Theory, Evaluation, and Applications

... contribute to a disease, which motivates researchers to identify a subset of genes whose expression levels rise and fall coherently under a subset of conditions, ...fluctuation of a ... Voir le document complet

42

Statistical Analysis of the time to publish clinical trial results

Statistical Analysis of the time to publish clinical trial results

... order to know if there are effects on the time between trial completion and publication of results by the covariates the anova function is applied on the newly fitted Cox model: ... Voir le document complet

44

Statistical Analysis to Establish the Importance of Information Retrieval Parameters

Statistical Analysis to Establish the Importance of Information Retrieval Parameters

... of WordNet senses for query terms [Mothe and Tanguy, 2005]), term discrimina- tion (IDF [Jones, 1972]), document list homogeneity (NQC [Shtok et ...model to associate a query clus- ter to the ... Voir le document complet

24

Meta-analysis of microarray data of rainbow trout fry gonad differentiation modulated by ethynylestradiol

Meta-analysis of microarray data of rainbow trout fry gonad differentiation modulated by ethynylestradiol

... belonging to the laminin and tektin protein families which are structural macromolecules found in the basal lamina and cytoskeleton, ...respectively. The basement membrane related gene (lama5) ... Voir le document complet

28

Statistical analysis of dislocations and dislocation boundaries from EBSD data

Statistical analysis of dislocations and dislocation boundaries from EBSD data

... in the EBSD maps of Fig. 2, determined using the method presented in section ...3.1. The measurement noise also varies significantly within a single map. Of course, the ... Voir le document complet

18

Seeking for shortest paths between negative binomial distributions. Application to the statistical analysis of counts data.

Seeking for shortest paths between negative binomial distributions. Application to the statistical analysis of counts data.

... all the Christoel symbols (4) were calculated from the expression (7) of G φφ , with the help of Mathematica [26] ...Then, the dierential equation (3) was numerically solved ... Voir le document complet

30

Discovering novelty in sequential patterns: application for analysis of microarray data on Alzheimer disease

Discovering novelty in sequential patterns: application for analysis of microarray data on Alzheimer disease

... Our contribution is three-fold: i We first help biologists select relevant sequences according to a specific topic and then to identify both popular genes often available in the literatu[r] ... Voir le document complet

7

Geometry Processing and Statistical Shape Analysis of 3-D Anthropometry Data

Geometry Processing and Statistical Shape Analysis of 3-D Anthropometry Data

... as the CAESAR project, provide tremendous amount of information about the shape of the human ...anthropometry data which consist of one-dimensional measurements, 3-D ... Voir le document complet

5

Digitization of trait representation in microarray data analysis of wheat infected by fusarium graminearum

Digitization of trait representation in microarray data analysis of wheat infected by fusarium graminearum

... connected to five other hub genes in cluster R, three putative splicing factors (SCL30A, U2AF 35 kDa subunit and SRp30) and two potential aquaporin protein ...and the regulation of flowering ...[25]. ... Voir le document complet

10

Contributions to the analysis and mitigation of liquefaction in loose sand slopes

Contributions to the analysis and mitigation of liquefaction in loose sand slopes

... This thesis examines the seismic slope stability problem of a partially submerged slope using finite element analyses that combine the following three elements: (1) coupled analy[r] ... Voir le document complet

419

Contributions to variable selection, clustering and statistical estimation inhigh dimension

Contributions to variable selection, clustering and statistical estimation inhigh dimension

... algorithm of exact support recovery in the setting of noisy compressed sensing where all entries of the design matrix are ...achieves the same conditions of exact re- ... Voir le document complet

245

Contributions to the Performance Analysis of Intervehicular Communications Systems and Schemes

Contributions to the Performance Analysis of Intervehicular Communications Systems and Schemes

... reliability of a wireless ...consists of different propagation channels is established between the 𝑁 𝑡 transmit antennas at the transmitter and the 𝑁 𝑡 receive antennas at the ... Voir le document complet

132

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