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Pattern Recognition in Bioinformatics

Overview of attention for book
Cover of 'Pattern Recognition in Bioinformatics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Sequence-Based Prediction of Protein Secretion Success in Aspergillus niger
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    Chapter 2 Machine Learning Study of DNA Binding by Transcription Factors from the LacI Family
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    Chapter 3 Joint Loop End Modeling Improves Covariance Model Based Non-coding RNA Gene Search
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    Chapter 4 Structured Output Prediction of Anti-cancer Drug Activity
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    Chapter 5 Pattern Recognition in Bioinformatics
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    Chapter 6 Towards 3D Modeling of Interacting TM Helix Pairs Based on Classification of Helix Pair Sequence
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    Chapter 7 Optimization Algorithms for Identification and Genotyping of Copy Number Polymorphisms in Human Populations
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    Chapter 8 Preservation of Statistically Significant Patterns in Multiresolution 0-1 Data
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    Chapter 9 Novel Machine Learning Methods for MHC Class I Binding Prediction
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    Chapter 10 SIMCOMP: A Hybrid Soft Clustering of Metagenome Reads
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    Chapter 11 The Complexity and Application of Syntactic Pattern Recognition Using Finite Inductive Strings
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    Chapter 12 An Algorithm to Find All Identical Motifs in Multiple Biological Sequences
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    Chapter 13 Discovery of Non-induced Patterns from Sequences
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    Chapter 14 Exploring Homology Using the Concept of Three-State Entropy Vector
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    Chapter 15 A Maximum-Likelihood Formulation and EM Algorithm for the Protein Multiple Alignment Problem
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    Chapter 16 Polynomial Supertree Methods Revisited
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    Chapter 17 Enhancing Graph Database Indexing by Suffix Tree Structure
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    Chapter 18 Semi-Supervised Graph Embedding Scheme with Active Learning (SSGEAL): Classifying High Dimensional Biomedical Data
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    Chapter 19 Iterated Local Search for Biclustering of Microarray Data
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    Chapter 20 Biologically-aware Latent Dirichlet Allocation (BaLDA) for the Classification of Expression Microarray
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    Chapter 21 Measuring the Quality of Shifting and Scaling Patterns in Biclusters
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    Chapter 22 Frequent Episode Mining to Support Pattern Analysis in Developmental Biology
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    Chapter 23 Time Series Gene Expression Data Classification via L 1 -norm Temporal SVM
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    Chapter 24 Sub-grid and Spot Detection in DNA Microarray Images Using Optimal Multi-level Thresholding
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    Chapter 25 Quantification of Cytoskeletal Protein Localization from High-Content Images
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    Chapter 26 Pattern Recognition for High Throughput Zebrafish Imaging Using Genetic Algorithm Optimization
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    Chapter 27 Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis
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    Chapter 28 Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging
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    Chapter 29 A Matrix Algorithm for RNA Secondary Structure Prediction
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    Chapter 30 Exploiting Long-Range Dependencies in Protein β -Sheet Secondary Structure Prediction
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    Chapter 31 Alpha Helix Prediction Based on Evolutionary Computation
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    Chapter 32 An On/Off Lattice Approach to Protein Structure Prediction from Contact Maps
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    Chapter 33 Biological Protein-Protein Interaction Prediction Using Binding Free Energies and Linear Dimensionality Reduction
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    Chapter 34 Employing Publically Available Biological Expert Knowledge from Protein-Protein Interaction Information
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    Chapter 35 SFFS-MR: A Floating Search Strategy for GRNs Inference
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    Chapter 36 Revisiting the Voronoi Description of Protein-Protein Interfaces: Algorithms
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    Chapter 37 MC 4 : A Tempering Algorithm for Large-Sample Network Inference
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    Chapter 38 Flow-Based Bayesian Estimation of Nonlinear Differential Equations for Modeling Biological Networks
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
3 Mendeley
Summary Blogs X Dimensions citations
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
Pattern Recognition in Bioinformatics
Published by
ADS, September 2010
DOI 10.1007/978-3-642-16001-1
ISBNs
978-3-64-216000-4, 978-3-64-216001-1
Editors

Dijkstra, Tjeerd M. H., Tsivtsivadze, Evgeni, Marchiori, Elena, Heskes, Tom

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sri Lanka 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 33%
Student > Bachelor 1 33%
Lecturer 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Mathematics 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 26 April 2012.
All research outputs
#3,572,196
of 23,041,514 outputs
Outputs from ADS
#2,824
of 37,451 outputs
Outputs of similar age
#15,509
of 96,397 outputs
Outputs of similar age from ADS
#30
of 380 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,451 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 92% of its peers.
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 96,397 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 380 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.

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