sharing methods and data
Tài liệu Understanding static Methods and Data ppt
Ngày tải lên :
15/12/2013, 00:15
... is purely to act as a holder of utility methods and fields A static class cannot contain any instance data or methods, and it does not make sense to try and create an object from a static class ... methods, and called both of these types of methods You have also implemented instance and static fields You have seen how to make fields and methods accessible by using the public keyword, and how ... program and return to Visual Studio 2005 Congratulations You have successfully created a class, and used constructors to initialize the fields in a class You have created instance and static methods, ...
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Tài liệu Fundamental Numerical Methods and Data Analysis doc
Ngày tải lên :
20/12/2013, 19:15
... determined by the "right hand rule" while the magnitude depends on the rate of change of the x- and ycomponents of the vector field with respect to y and x 19 Numerical Methods and Data Analysis The ... accuracy is 27 Numerical Methods and Data Analysis determined by the analyst and he must be careful not to aim too high and carry out grossly inefficient calculations, or too low and obtain meaningless ... very fast and cheap computers has enabled investigators to use inefficient methods and still obtain answers in a timely fashion However, with the avalanche of data about to descend on more and more...
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sharing publication-related data and materials
Ngày tải lên :
11/04/2014, 10:31
... http://books.nap.edu/catalog/.html SHARING PUBLICATION-RELATED DATA AND MATERIALS principle for sharing integral data and materials expeditiously (UPSIDE),” as follows: Community standards for sharing publication-related data ... have yet to agree on standards for when and how to share, format, annotate, and curate data The time, effort, and expense involved in generating large datasets, databases, and some research materials ... growing role of large datasets in biology, the cost and time involved in producing some data and materials, and the commercial and other interests of authors in their research data and materials These...
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Advanced Methods and Tools for ECG Data Analysis - Part 1 ppt
Ngày tải lên :
13/08/2014, 12:20
... between the LL and average of the arm leads; aVR is the difference between the RA and the average of LL and LA, and aVL is the difference between the LA and the average of the RA and LL Since there ... Artifacts, and Missing Data 55 3.1 Introduction 3.2 Spectral and Cross-Spectral Analysis of the ECG 3.2.1 Extreme Low- and High-Frequency ECG 3.2.2 The Spectral Nature of Arrhythmias 3.3 Standard ... Transmission, and Representation 27 2.1 Introduction 2.2 Initial Design Considerations 2.2.1 Selecting a Patient Population 2.2.2 Data Collection Location and Length 2.2.3 Energy and Data Transmission...
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Advanced Methods and Tools for ECG Data Analysis - Part 2 doc
Ngày tải lên :
13/08/2014, 12:20
... Transmission, and Representation questions to ask when choosing a data format and access libraries include: • • • • • • • • • • • • • What are the data going to be used for? Are the data format and libraries ... more frequently during data collection, it is important to test proposed algorithms on freely available (annotated) data, using standard tools and metrics Without such data and tools, it is impossible ... shifting the right and left arm (RA and LA) electrodes together with the right and left leg (RL and LL) electrodes Welinder et al [20] compared the susceptibility of the EASI and Mason-Likar systems...
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Advanced Methods and Tools for ECG Data Analysis - Part 3 docx
Ngày tải lên :
13/08/2014, 12:20
... input feature space See Chapters 12 and 13 for further discussions of training, test, and validation data sets 3.6 Noise and Artifact in the ECG 3.6.1 Noise and Artifact Sources Unfortunately, ... noises and artifacts (see above) that can occur simultaneously, and partially because these noises and artifacts are often transient, and largely unpredictable in terms of their onset and duration ... http://ideas.repec.org/p/dgr/kubcen/200446.html Brown, M L., and J F Kros, “The Impact of Missing Data on Data Mining,” in John Wang, (ed.), Data Mining: Opportunities and Challenges, Hershey, PA: IRM Press, 2003,...
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Advanced Methods and Tools for ECG Data Analysis - Part 4 ppsx
Ngày tải lên :
13/08/2014, 12:20
... with means f1 , f2 and standard deviations c1 , c2 Power in the LF and HF bands is 2 given by σ1 and σ2 , respectively, whereas the variance equals the total area σ = 2 2 σ1 + σ2 and the LF/HF ratio ... interbeat interval increment data and (3) the Poisson excursion law in small RR increments [72] The cascade consisted of a discrete fragmentation process and assigned random weights to the cascade ... templates [77], Fourier and AR models [78], singular value decomposition-based techniques [79, 80], and more complex methods such as neural network classifiers [81–83], and finite element models...
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Advanced Methods and Tools for ECG Data Analysis - Part 5 pdf
Ngày tải lên :
13/08/2014, 12:20
... (observation) data by a separation or demixing matrix Lossless PCA and ICA both involve projecting data onto a set of axes which are determined by the nature of those data, and are therefore methods ... deviation of xn , and µz and σz are the mean and standard deviation of zn A value of ρ ∼ reflects a strong correlation, ρ ∼ −1 implies a strong anticorrelation, and ρ ∼ indicates that xn and zn are ... zn , and the original noise-free signal, xn The cross-correlation coefficient ρ between xn and zn is given by [51] ρ= [xn − µx ][zn − µz ] σ x σz (6.13) where µx and σx are the mean and standard...
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Advanced Methods and Tools for ECG Data Analysis - Part 6 docx
Ngày tải lên :
13/08/2014, 12:20
... strengths and limitations of TWA analysis methods, broadly comprising short-term Fourier transform (STFT)–based methods (highpass linear filtering), sign-change counting, and nonlinear filtering methods ... locations and parameters derived from these (such as the P, Q, and T onset and hence the PR and QT interval) are easily extracted Onsets and offsets are conventionally difficult to locate in the ECG, ... wave and the ST level are more sensitive to noise power and color Future research will concentrate on methods to constrain the fit for particular applications where performance is substandard...
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Advanced Methods and Tools for ECG Data Analysis - Part 7 ppt
Ngày tải lên :
13/08/2014, 12:20
... from the data window covering the PQ segment and QRS complex, and the other from the data window covering the ST segment and the initial portion of the T wave (see Figure 9.2) QRS complex and ST ... [13] and during the development of the long-term ST database (LTST DB) [14], a standard reference for assessing the quality of AECG analyzers The procedure appears to be reliable and accurate and ... baseline wander caused by respiration and body movements, high-frequency random noises caused by mains interference (50 Hz, 60 Hz) and muscular activity, and random shifts of the ECG signal amplitude...
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Advanced Methods and Tools for ECG Data Analysis - Part 8 docx
Ngày tải lên :
13/08/2014, 12:20
... at random (with replacement; that is, a newly chosen record put back) from the original database, and performance statistics are derived for each new database The mean, standard deviation and ... 10.3.1 Reference Databases Two freely available international reference databases to develop and evaluate ST segment analyzers are currently in use: the ESC DB [1] and the LTST DB [35], and as such ... accurate measurement and tracking of ST segment levels and (2) detection of ST segment change episodes with correct identification of the beginning and end of each episode, and the time and magnitude...
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Advanced Methods and Tools for ECG Data Analysis - Part 9 ppsx
Ngày tải lên :
13/08/2014, 12:20
... different preprocessing methods of the data, and then the best one is chosen, while the rest are discarded However, each method of data processing might be sensitive to artifacts and outliers Hence, ... Local Expert (LE), and the mixture of them (MEA) The experts are built using SOM and LVQ methods and have been applied to classify four beat types included in the MIT-BIH Arrhythmia Database The average ... pp 599–614 Xu, L., A Krzyzak, and C Y Suen, Methods of Combining Multiple Classifiers and Their Applications to Handwriting Recognition,” IEEE Trans Systems, Man and Cybernetics, Vol 22, 1991,...
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Advanced Methods and Tools for ECG Data Analysis - Part 10 pps
Ngày tải lên :
13/08/2014, 12:20
... of computer science and life sciences It comprises machine and statistical learning methods to support predictive data analysis and visualization in biomedical informatics and postgenome informatics ... 5,000 beats (3,000 Class N samples and 2,000 Class V samples) have been randomly chosen to implement and test the model The second data set is a sleep apnea data set, which was designed to detect ... ECG beat data set and N0 = for sleep apnea data set, initial learning rate, LR(0), = 0.5 and the maximum NLE (growing phase) = 5, NLE (smoothing phase) = 10 13.4.2.1 Cluster Visualization and Discovery...
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Báo cáo sinh học: "Analysis of the real EADGENE data set: Comparison of methods and guidelines for data normalisation and selection of differentially expressed genes (Open Access publication)" potx
Ngày tải lên :
14/08/2014, 13:22
... for IDL, INRA_J and PTP teams Normalisation and analyses methods used by these teams are presented in Tables I and II control procedures and different normalisation and analyses methods: the IDL ... infected gland, including S100 calcium binding proteins A8, A9 and A12, colony stimulating factor and several chemoattractants for neutrophils, e.g interleukin and chemokine (C-X-C motif) ligand and ... time (linear and quadratic regression on time), and the interactions between bacteria and these time effects A linear random regression model was considered (using a random cow effect and an interaction...
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Báo cáo sinh học: "Analysis of a simulated microarray dataset: Comparison of methods for data normalisation and detection of differential expression (Open Access publication)" pps
Ngày tải lên :
14/08/2014, 13:22
... analysis methods Table contains the gene id (gene), mean and standard deviation of the unnormalised log ratio (M and SD), mean and standard deviation of the LOESS normalised log ratio (M LOESS and ... analysis methods The table contains the gene id (gene), mean and standard deviation of the unnormalised log ratio (M and SD), mean and standard deviation of the LOESS normalised log ratio (M LOESS and ... detail and the results of each presented and compared The results are then discussed in relation to the best methods to use for analysing extremely noisy microarray data MATERIALS AND METHODS...
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Application of knowledge discovery and data mining methods in livestock genomics for hypothesis generation and identification of biomarker candidates influencing meat quality traits in pigs
Ngày tải lên :
25/11/2015, 13:26
... there are 6,769 datasets in GEO database (GEO Datasets B taurus, 2014) and (microarray and other high throughput data) and 765 (SRA Datasets B taurus, 2014) SRA experiments (NGS data) In case of ... target data set, data cleansing and preprocessing, data reduction and projection, choosing data mining task, choosing data mining algorithm, data mining, interpreting the mined patterns and consolidating ... genomic and proteomic datasets including epigenomic data, transcriptomic data, sequence variation data and interactome data (Hawkins et al., 2010) The primary objective of integrative data analysis...
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Glycoprotein Methods and Protocols - P1
Ngày tải lên :
08/10/2012, 10:25
... a UV monitor and collect fractions using a fraction collector and subject to the appropriate carbohydrate and antibody analyses 3.6 Analysis of Mucins Methods for the detection and analysis of ... antibodies and lectins or coating methods such as the glycan detection method and enzyme-linked immunosorbent assays (ELISA) All these techniques have advantages and disadvantages Solution methods ... three principally different methods are available: solution assays such as colorimetric assays for hexose and sialic acid; membrane-based methods such as slot-blotting and staining with periodic...
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Glycoprotein Methods and Protocols - P2
Ngày tải lên :
08/10/2012, 10:25
... mammary gland, defined by antibodies to cytokeratins J Cell Sci 75, 17–33 Kiernan, J A (1990) Histological and Histochemical Methods: Theory and Practice, Pergamon, Oxford, UK Andrew, S M and Jasani, ... M and Milton, J D (1986) Lectin Methods and Protocols, Humana, Totowa, NJ Liener, I E., Sharon, N., and Goldstein, I J (1998) The Lectins: Properties, Functions, and Applications in Biology and ... such as Culling’s Handbook of Histopathological and Histochemical Techniques (including museum techniques) (36) or Kiernan’s Histological and Histochemical Methods: Theory and Practice (45) provide...
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Glycoprotein Methods and Protocols - P3
Ngày tải lên :
08/10/2012, 10:25
... core protein specificity), and lower sensitivity than slot-blot and immunoassay methods Chap- Detection and Quantitation of Mucins 47 ter (2) discusses these assays and they are mentioned here ... using a standard curve fitted using an appropriate line of best fit; programs are available to interface with microplate readers and isotope counters that store data and compute standard curves ... greater sample volume, and superior washing) For quantitation and comparison across blots, a standard in the same buffer as samples should be titrated for use as a standard curve, and samples should...
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