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Multiple Information Sources Cooperative Learning

Overview of attention for book
Cover of 'Multiple Information Sources Cooperative Learning'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Association Analysis Techniques for Bioinformatics Problems
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    Chapter 2 Analyzing and Interrogating Biological Networks (Abstract)
  4. Altmetric Badge
    Chapter 3 From Architecture to Function (and Back) in Bio-networks
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    Chapter 4 A New Machine Learning Approach for Protein Phosphorylation Site Prediction in Plants
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    Chapter 5 Assembly of Large Genomes from Paired Short Reads
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    Chapter 6 Amino Acid Classification and Hash Seeds for Homology Search
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    Chapter 7 Genotype and Haplotype Reconstruction from Low-Coverage Short Sequencing Reads
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    Chapter 8 Gene Networks Viewed through Two Models
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    Chapter 9 Identifying Evolutionarily Conserved Protein Interaction Modules Using GraphHopper
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    Chapter 10 The 2-Interval Pattern Matching Problems and Its Application to ncRNA Scanning
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    Chapter 11 RNA Pseudoknot Folding through Inference and Identification Using TAG RNA
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    Chapter 12 Comparing Bacterial Genomes by Searching Their Common Intervals
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    Chapter 13 Generalized Binary Tanglegrams: Algorithms and Applications
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    Chapter 14 Three-Dimensional Multimodality Modelling by Integration of High-Resolution Interindividual Atlases and Functional MALDI-IMS Data
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    Chapter 15 Detecting Motifs in a Large Data Set: Applying Probabilistic Insights to Motif Finding
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    Chapter 16 A Biclustering Method to Discover Co-regulated Genes Using Diverse Gene Expression Datasets
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    Chapter 17 Computational Protocol for Screening GPI-anchored Proteins
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    Chapter 18 Towards Large-Scale Molecular Dynamics Simulations on Graphics Processors
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    Chapter 19 An Agent-Based Model of Solid Tumor Progression
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    Chapter 20 Deciphering Drug Action and Escape Pathways: An Example on Nasopharyngeal Carcinoma
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    Chapter 21 Selection of Multiple SNPs in Case-Control Association Study Using a Discretized Network Flow Approach
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    Chapter 22 Biclustering Expression Data Based on Expanding Localized Substructures
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    Chapter 23 Constrained Fisher Scores Derived from Interaction Profile Hidden Markov Models Improve Protein to Protein Interaction Prediction
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    Chapter 24 Improving Protein Localization Prediction Using Amino Acid Group Based Physichemical Encoding
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    Chapter 25 The Impact of Gene Selection on Imbalanced Microarray Expression Data
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    Chapter 26 Spatial Information and Boolean Genetic Regulatory Networks
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    Chapter 27 Modeling of Genetic Regulatory Network in Stochastic π -Calculus
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    Chapter 28 fMRI Activation Detection by MultiScale Hidden Markov Model
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    Chapter 29 cnF2freq : Efficient Determination of Genotype and Haplotype Probabilities in Outbred Populations Using Markov Models
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    Chapter 30 A Comprehensive Analysis Workflow for Genome-Wide Screening Data from ChIP-Sequencing Experiments
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    Chapter 31 A Fitness Distance Correlation Measure for Evolutionary Trees
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    Chapter 32 Alignment and Analysis of Closely Related Genomes
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    Chapter 33 Computational Prediction of Genes Translationally Regulated by Cytoplasmic Polyadenylation Elements
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    Chapter 34 Multiple Sequence Alignment System for Pyrosequencing Reads
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    Chapter 35 A Bayesian Approach to High-Throughput Biological Model Generation
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    Chapter 36 Parallel Selection of Informative Genes for Classification
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    Chapter 37 Simulation Methods in Uncovering New Regulatory Mechanisms in Signaling Pathways
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    Chapter 38 GridSPiM: A Framework for Simple Locality and Containment in the Stochastic π-Calculus
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    Chapter 39 Mutual Information Based Extrinsic Similarity for Microarray Analysis
  41. Altmetric Badge
    Chapter 40 Graph Spectral Approach for Identifying Protein Domains
Overall attention for this book and its chapters
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Mentioned by

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2 X users

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52 Mendeley
Summary X
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Multiple Information Sources Cooperative Learning
Published by
ADS, January 2009
DOI 10.1007/978-3-642-00727-9
ISBNs
978-3-64-200726-2, 978-3-64-200727-9
Authors

Zhu, X, Jin, R

Editors

Rajasekaran, Sanguthevar, Rajasekaran, Sanguthevar

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 2%
Unknown 51 98%
Readers by discipline Count As %
Computer Science 1 2%
Unknown 51 98%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 April 2021.
All research outputs
#15,387,502
of 22,893,031 outputs
Outputs from ADS
#28,256
of 37,411 outputs
Outputs of similar age
#142,192
of 169,524 outputs
Outputs of similar age from ADS
#739
of 901 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,411 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 169,524 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 901 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.

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