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Computational Life Sciences II

Overview of attention for book
Cover of 'Computational Life Sciences II'

Table of Contents

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    Book Overview
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    Chapter 1 Improved Robustness in Time Series Analysis of Gene Expression Data by Polynomial Model Based Clustering
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    Chapter 2 A Hybrid Grid and Its Application to Orthologous Groups Clustering
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    Chapter 3 Promoter Prediction Using Physico-Chemical Properties of DNA
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    Chapter 4 Parametric Spectral Analysis of Malaria Gene Expression Time Series Data
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    Chapter 5 An Efficient Algorithm for Finding Long Conserved Regions Between Genes
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    Chapter 6 The Reversal Median Problem, Common Intervals, and Mitochondrial Gene Orders
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    Chapter 7 Building Structure-Property Predictive Models Using Data Assimilation
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    Chapter 8 Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models
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    Chapter 9 Relational Subgroup Discovery for Descriptive Analysis of Microarray Data
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    Chapter 10 Applicability of Loop Recombination in Ciliates Using the Breakpoint Graph
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    Chapter 11 High-Throughput Identification of Chemistry in Life Science Texts
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    Chapter 12 Beating the Noise: New Statistical Methods for Detecting Signals in MALDI-TOF Spectra Below Noise Level
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    Chapter 13 Dynamic Complexity of Chaotic Transitions in High-Dimensional Classical Dynamics: Leu-Enkephalin Folding
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    Chapter 14 Solvent Effects and Conformational Stability of a Tripeptide
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    Chapter 15 Grid Assisted Ensemble Molecular Dynamics Simulations of HIV-1 Proteases Reveal Novel Conformations of the Inhibitor Saquinavir
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    Chapter 16 A Structure-Based Analysis of Single Molecule Force Spectroscopy (SMFS) Data for Bacteriorhodopsin and Four Mutants
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    Chapter 17 Classifying the World Anti-Doping Agency’s 2005 Prohibited List Using the Chemistry Development Kit Fingerprint
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    Chapter 18 A Point-Matching Based Algorithm for 3D Surface Alignment of Drug-Sized Molecules
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    Chapter 19 Adaptive Approach for Modelling Variability in Pharmacokinetics
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    Chapter 20 A New Approach to Flux Coupling Analysis of Metabolic Networks
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    Chapter 21 Software Supported Modelling in Pharmacokinetics
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    Chapter 22 On the Interpretation of High Throughput MS Based Metabolomics Fingerprints with Random Forest
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    Chapter 23 Construction of Correlation Networks with Explicit Time-Slices Using Time-Lagged, Variable Interval Standard and Partial Correlation Coefficients
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    Chapter 24 The Language of Cortical Dynamics
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    Chapter 25 A Simple Method to Simultaneously Track the Numbers of Expressed Channel Proteins in a Neuron
Overall attention for this book and its chapters
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1 X user

Citations

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Title
Computational Life Sciences II
Published by
Lecture notes in computer science, January 2006
DOI 10.1007/11875741
ISBNs
978-3-54-045767-1, 978-3-54-045768-8
Authors

Michael R. Berthold, Robert C. Glen, Ingrid Fischer

Editors

R. Berthold, Michael, Glen, Robert C., Fischer, Ingrid

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

Geographical breakdown

Country Count As %
United Kingdom 2 11%
Unknown 16 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 33%
Researcher 6 33%
Other 2 11%
Professor 1 6%
Student > Bachelor 1 6%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 33%
Chemistry 4 22%
Computer Science 2 11%
Engineering 2 11%
Physics and Astronomy 2 11%
Other 1 6%
Unknown 1 6%
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 26 February 2014.
All research outputs
#18,465,704
of 22,880,230 outputs
Outputs from Lecture notes in computer science
#6,015
of 8,130 outputs
Outputs of similar age
#147,413
of 154,650 outputs
Outputs of similar age from Lecture notes in computer science
#117
of 146 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,130 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 13th percentile – i.e., 13% 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 154,650 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.