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Biological Data

S-Plus for the 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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A Preliminary Usability Study of the Dryad Database of Biological Data

A Preliminary Usability Study of the Dryad Database of Biological Data

... download data (3) Upload ...download data, however, the biologists differed from typical web users; the biologists initially preferred to search for most information rather than to ...browse. Data ...

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Ontology Engineering Techniques for Biological Data

Ontology Engineering Techniques for Biological Data

... of data in many ...the biological data ...the data regarding human genes ...for Biological data to achieve the following objectives: ...

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Deep learning in mining biological data

Deep learning in mining biological data

... ological data coming from the diverse application do- mains have been categorized to a few broad data ...These data types include, Sequences (data generated by Omics technologies, ...these ...

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Analysis Clustering Techniques in Biological Data with R

Analysis Clustering Techniques in Biological Data with R

... powerful data mining ...of biological data is well researched topic among computer ...expression data obtained from micro-array experiments ...of biological networks greatly increase ...

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BioDataServer: An Applied Molecular Biological Data Integration Service

BioDataServer: An Applied Molecular Biological Data Integration Service

... molecular biological data that originates from different ...this data was made electronically available to a world-wide ...these data sources are either separated from one another ...these ...

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Applications of deep learning and reinforcement learning to biological data

Applications of deep learning and reinforcement learning to biological data

... different Biological data; a comparative study on performances of various DL techniques, when applied to the data coming from different application domains, as reported in the literature; and ...

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Database integration approaches for heterogeneous biological data sources : an overview

Database integration approaches for heterogeneous biological data sources : an overview

... heterogeneous biological data ...integrating biological data ...specifically biological ontology could help user in building useful queries on mediator ...between biological ...

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Frequent Contiguous Pattern Mining Algorithms for Biological Data Sequences

Frequent Contiguous Pattern Mining Algorithms for Biological Data Sequences

... Various computer algorithms and methods are developed to manage and analyze the huge volume of biological data. These algorithms help to compare and align biological sequences and predict ...

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Extending the Glue Visualization Tool with Biological Data-Types

Extending the Glue Visualization Tool with Biological Data-Types

... The result is an overall increase in the “turnaround time” between identifying and formulating a research question and visualizing its conclusion with relevant clinical data. The progress of research is often ...

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Visualization of biological data: Infrastructure, design and application

Visualization of biological data: Infrastructure, design and application

... Package biovizBase should generalize the data fetching methods for various raw data into a ge- netic method and customized methods should be allowed too. Caching ability is a major limitation. However it is ...

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Biological Data Analysis: Error and Uncertainty

Biological Data Analysis: Error and Uncertainty

... finding data quality and lineage [14], wherefore one finds risk determination, borderline quality and associated behavior of a given data, offering an option for the appropriate prediction and visualization ...

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Biological data and model development for management of longfinned eels

Biological data and model development for management of longfinned eels

... relationship with overhanging vegetation. A number of the variables not selected by the GLM as significant for the LTMP eel data may have been correlated with the index of disturbance, for example, riparian ...

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Extracting biology from high dimensional biological data

Extracting biology from high dimensional biological data

... a biological system, the compromise between looking at large tissue samples, where the stochastic events are averaged out, and single cells, where experimental analysis is difficult, is to look at small numbers of ...

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Applications of Granger causality to biological data

Applications of Granger causality to biological data

... sessions’ data from 1 second before and 1 sec- ond during each face picture was used for ...recording data was used and taken from a period during the recording session when the animal was calm and showing ...

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A Comparative Study of Classification Algorithms to Analyse Biological Data sets

A Comparative Study of Classification Algorithms to Analyse Biological Data sets

... Data mining is an area of computer science with a huge prospective and it is the process of discovering or extracting information from large database or data sets. Classification also can be implemented ...

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MLCut : exploring Multi Level Cuts in dendrograms for biological data

MLCut : exploring Multi Level Cuts in dendrograms for biological data

... the data in hand. In an attempt to help the user to find patterns in the data and resolve ambiguities in cluster assignments, we developed MLCut: a tool that provides visual support for exploring ...

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A remote biological data acquisition system

A remote biological data acquisition system

... superregenerator stage, the first approach was to build a slightly modified version of the common-base crystal oscillator shown on pages 96 and 97 of Frerking 12 with VCO output of the C[r] ...

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Effective Use of Data Mining on Biological and Clinical Data Analysis

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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