analysis of biological data
S-Plus for the analysis of biological data
... S-Plus for the Analysis of Biological Data xii Appendix 2: Scripts used in each chapter 344 Chapter 1: plot.summarizeO Generates a set of descriptive plots and returns summary statistics[r] ...
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Analysis Clustering Techniques in Biological Data with R
... in biological data with R” meant to analyze clustering techniques in biological data using R programming ...clustering biological data attempted according to different situation ...
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BiC2PAM: constraint-guided biclustering for biological data analysis with domain knowledge
... Background: Biclustering has been largely used in biological data analysis, enabling the discovery of putative functional modules from omic and network data. Despite the recognized importance ...
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GENETIC NETWORK ANALYSIS IN LIGHT OF MASSIVELY PARALLEL BIOLOGICAL DATA ACQUISITION.
... inactivation of genes. In extreme cases, this can result in two cells undergoing the same phenotypic change (e.g. proceeding from a certain point in the cell cycle to a later one) but having the sequence of activation ...
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Computational Tool for Applications of Sparse Canonical Correlation Analysis on Biological Data
... correlation analysis (CCA) is a statistical method for exploring the relationships between two multivariate sets of variables that are measured on the same ...
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Application of circular regression analysis on biological data: case study on malaria cases in district of visakhapatnam, india
... regression analysis has been done to regress months of the year on malaria ...circular analysis in general and circular regression, in particular in relatively new field of statistics first, we highlighted ...
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Biological Data Analysis: Error and Uncertainty
... by data analyst based on investigation, to define the threshold ...for biological expression data for visualizing the uncertainty [21], for example proteomics, genomes, metabolism, and others appear ...
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Applications of Granger causality to biological data
... of biological processes, in order to capture the dynamics of complex systems and investigate the functions of genes and neu- rons in detail, it is much better to treat the network as a whole instead of analyz- ing ...
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SensorDB: a virtual laboratory for the integration, visualization and analysis of varied biological sensor data
... temperature, data packet loss or radio sig- nal intensity, can become critical for rapidly identifying faulty and potentially faulty sensors and monitoring the system performance over time to maximise data ...
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Ontology Engineering Techniques for Biological Data
... are being experienced [13] [14]. Among these problems major issue is regarding heterogeneity of data at different levels. To resolve the heterogeneity problem at syntactic & structural level stylish solutions ...
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Sharing longitudinal, non-biological birth cohort data: a cross-sectional analysis of parent consent preferences
... research data for reuse, while data platforms continue to emerge to facilitate such ...datasets. Data sharing benefits include more analyses, greater research complexity, increased opportunities for ...
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Extracting biology from high dimensional biological data
... facilitate analysis of microarray ...and data entry interface that allows collection of the information relevant for any particular assay, including that required by the MIAME standard (Ball et ...of ...
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Deep learning in mining biological data
... imaging data from MRI to PET, SPECT, CT, MEG/ EEG and optical imaging for analysing functional and structural ...neuroimaging analysis tools. The UK data ser- vice [189] contains T1/2, Diffusion ...
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Visualization of biological data: Infrastructure, design and application
... of data formats have been developed to describe data structures, however many are very similar to each other, and could be generalized into one uniform ...interval data and related meta information ...
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Effective Use of Data Mining on Biological and Clinical Data Analysis
... Since biological data is today usually very large and multi-parameter, and since we wanted to provide legible and easily interpretable models for such data, we had to turn to appropriate machine ...
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Analysis of Microarray based Biological Pathway using Data Mining
... of biological data has been increasing at explosive rates due to improvements of existing technologies and the introduction of new ...and biological data analysis methods has led to the ...
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Machine learning for improved data analysis of biological aerosol using the WIBS
... The data collected is using a WIBS version 3 which is lim- ited to a detection range of approximately 0.5–12 µm, which limits the ability of the instrument to detect intact pollen grains. The vast majority of the ...
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Comparative analysis of Data Compression and Pattern Matching Techniques for Biological Big Data
... Rajpoot and Yao compared the standard LZW with variations such as LZW with PB code, LZW with DS code, LZW with balanced code and LZW with dynamic block shifting. The Phase in Binary trees has all sub trees as complete ...
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Biological pathway analysis by ArrayUnlock and Ingenuity Pathway Analysis
... pathway analysis tools to connect with existing biological pathways by using public ...known biological pathways is a ver- satile tool for understand the biological complexity of gene ...
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