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Advances in Bioinformatics and Computational Biology

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Cover of 'Advances in Bioinformatics and Computational Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Block Interchange and Reversal Distance on Unbalanced Genomes
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    Chapter 2 circTIS: A Weighted Degree String Kernel with Support Vector Machine Tool for Translation Initiation Sites Prediction in circRNA
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    Chapter 3 Evaluating the Molecular—Electronic Structure and the Antiviral Effect of Functionalized Heparin on Graphene Oxide Through Ab Initio Computer Simulations and Molecular Docking
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    Chapter 4 Make No Mistake! Why Do Tools Make Incorrect Long Non-coding RNA Classification?
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    Chapter 5 Spectrum-Based Statistical Methods for Directed Graphs with Applications in Biological Data
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    Chapter 6 Feature Selection Investigation in Machine Learning Docking Scoring Functions
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    Chapter 7 Using Natural Language Processing for Context Identification in COVID-19 Literature
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    Chapter 8 A Framework for Inference and Selection of Cell Signaling Pathway Dynamic Models
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    Chapter 9 Intentional Semantics for Molecular Biology
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    Chapter 10 transcAnalysis: A Snakemake Pipeline for Differential Expression and Post-transcriptional Modification Analysis
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    Chapter 11 Peptide-Protein Interface Classification Using Convolutional Neural Networks
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    Chapter 12 A Power Law Semantic Similarity from Gene Ontology
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    Chapter 13 Gene Networks Inference by Reinforcement Learning
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    Chapter 14 Exploring Identifiability in Hybrid Models of Cell Signaling Pathways
Attention for Chapter 4: Make No Mistake! Why Do Tools Make Incorrect Long Non-coding RNA Classification?
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Chapter title
Make No Mistake! Why Do Tools Make Incorrect Long Non-coding RNA Classification?
Chapter number 4
Book title
Advances in Bioinformatics and Computational Biology
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-42715-2_4
Book ISBNs
978-3-03-142714-5, 978-3-03-142715-2
Authors

Chiquitto, Alisson G., Silva, Lucas Otávio L., Oliveira, Liliane Santana, Domingues, Douglas S., Paschoal, Alexandre R.

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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 %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Unknown 1 50%