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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 Evolutionary Parameters in Sequence Families
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    Chapter 2 MProfiler: A Profile-Based Method for DNA Motif Discovery
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    Chapter 3 On Utilizing Optimal and Information Theoretic Syntactic Modeling for Peptide Classification
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    Chapter 4 Joint Tracking of Cell Morphology and Motion
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    Chapter 5 Multiclass Microarray Gene Expression Analysis Based on Mutual Dependency Models
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    Chapter 6 An Efficient Convex Nonnegative Network Component Analysis for Gene Regulatory Network Reconstruction
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    Chapter 7 Using Higher-Order Dynamic Bayesian Networks to Model Periodic Data from the Circadian Clock of Arabidopsis Thaliana
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    Chapter 8 Sequential Hierarchical Pattern Clustering
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    Chapter 9 Syntactic Pattern Recognition Using Finite Inductive Strings
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    Chapter 10 Evidence-Based Clustering of Reads and Taxonomic Analysis of Metagenomic Data
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    Chapter 11 Avoiding Spurious Feedback Loops in the Reconstruction of Gene Regulatory Networks with Dynamic Bayesian Networks
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    Chapter 12 Ligand Electron Density Shape Recognition Using 3D Zernike Descriptors
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    Chapter 13 Definition of Valid Proteomic Biomarkers: A Bayesian Solution
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    Chapter 14 Inferring Meta-covariates in Classification
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    Chapter 15 A Multiobjective Evolutionary Algorithm for Numerical Parameter Space Characterization of Reaction Diffusion Systems
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    Chapter 16 Knowledge-Guided Docking of WW Domain Proteins and Flexible Ligands
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    Chapter 17 Distinguishing Regional from Within-Codon Rate Heterogeneity in DNA Sequence Alignments
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    Chapter 18 A Hybrid Metaheuristic for Biclustering Based on Scatter Search and Genetic Algorithms
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    Chapter 19 Di-codon Usage for Gene Classification
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    Chapter 20 Counting Patterns in Degenerated Sequences
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    Chapter 21 Modelling Stem Cells Lineages with Markov Trees
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    Chapter 22 Bi-clustering of Gene Expression Data Using Conditional Entropy
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    Chapter 23 c-GAMMA:Comparative Genome Analysis of Molecular Markers
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    Chapter 24 Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics
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    Chapter 25 Classification of Protein Interaction Sentences via Gaussian Processes
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    Chapter 26 MCMC Based Bayesian Inference for Modeling Gene Networks
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    Chapter 27 Efficient Optimal Multi-level Thresholding for Biofilm Image Segmentation
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    Chapter 28 A Pattern Classification Approach to DNA Microarray Image Segmentation
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    Chapter 29 Drugs and Drug-Like Compounds: Discriminating Approved Pharmaceuticals from Screening-Library Compounds
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    Chapter 30 Fast SCOP Classification of Structural Class and Fold Using Secondary Structure Mining in Distance Matrix
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    Chapter 31 Short Segment Frequency Equalization: A Simple and Effective Alternative Treatment of Background Models in Motif Discovery
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    Chapter 32 Bayesian Optimization Algorithm for the Non-unique Oligonucleotide Probe Selection Problem
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    Chapter 33 Microarray Time-Series Data Clustering via Multiple Alignment of Gene Expression Profiles
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    Chapter 34 Pattern Recognition in Bioinformatics
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    Chapter 35 Enhancing the Effectiveness of Fingerprint-Based Virtual Screening: Use of Turbo Similarity Searching and of Fragment Frequencies of Occurrence
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    Chapter 36 Patterns, Movement and Clinical Diagnosis of Abdominal Adhesions
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    Chapter 37 Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm
  39. Altmetric Badge
    Chapter 38 Cross-Platform Analysis with Binarized Gene Expression Data
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
1 X user
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
2 Mendeley
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Title
Pattern Recognition in Bioinformatics
Published by
ADS, January 2009
DOI 10.1007/978-3-642-04031-3
ISBNs
978-3-64-204030-6, 978-3-64-204031-3
Authors

Visakan Kadirkamanathan, Guido Sanguinetti, Mark Girolami, Mahesan Niranjan, Josselin Noirel, Harris, Keith, Girolami, Mark, Mischak, Harald

Editors

Visakan Kadirkamanathan, Guido Sanguinetti, Mark Girolami, Mahesan Niranjan, Josselin Noirel

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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 50%
Unknown 1 50%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 50%
Researcher 1 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 50%
Engineering 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 January 2020.
All research outputs
#7,227,583
of 22,844,985 outputs
Outputs from ADS
#9,050
of 37,376 outputs
Outputs of similar age
#47,780
of 169,340 outputs
Outputs of similar age from ADS
#297
of 900 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 37,376 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 75% 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 169,340 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 900 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.