↓ Skip to main content
What is this page? Embed badge

Computational Systems Biology

Overview of attention for book
Cover of 'Computational Systems Biology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 DNA Sequencing Data Analysis
  3. Altmetric Badge
    Chapter 2 Transcriptome Sequencing: RNA-Seq
  4. Altmetric Badge
    Chapter 3 Capture Hybridization of Long-Range DNA Fragments for High-Throughput Sequencing
  5. Altmetric Badge
    Chapter 4 The Introduction and Clinical Application of Cell-Free Tumor DNA
  6. Altmetric Badge
    Chapter 5 Bioinformatics Analysis for Cell-Free Tumor DNA Sequencing Data
  7. Altmetric Badge
    Chapter 6 An Overview of Genome-Wide Association Studies
  8. Altmetric Badge
    Chapter 7 Integrative Analysis of Omics Big Data
  9. Altmetric Badge
    Chapter 8 The Reconstruction and Analysis of Gene Regulatory Networks
  10. Altmetric Badge
    Chapter 9 Differential Coexpression Network Analysis for Gene Expression Data
  11. Altmetric Badge
    Chapter 10 iSeq: Web-Based RNA-seq Data Analysis and Visualization
  12. Altmetric Badge
    Chapter 11 Revisit of Machine Learning Supported Biological and Biomedical Studies
  13. Altmetric Badge
    Chapter 12 Identifying Interactions Between Long Noncoding RNAs and Diseases Based on Computational Methods
  14. Altmetric Badge
    Chapter 13 Survey of Computational Approaches for Prediction of DNA-Binding Residues on Protein Surfaces
  15. Altmetric Badge
    Chapter 14 Computational Prediction of Protein O-GlcNAc Modification
  16. Altmetric Badge
    Chapter 15 Machine Learning-Based Modeling of Drug Toxicity
  17. Altmetric Badge
    Chapter 16 Metabolomics: A High-Throughput Platform for Metabolite Profile Exploration
  18. Altmetric Badge
    Chapter 17 Single-Cell Protein Assays: A Review
  19. Altmetric Badge
    Chapter 18 Data Analysis in Single-Cell Transcriptome Sequencing
  20. Altmetric Badge
    Chapter 19 Applications of Single-Cell Sequencing for Multiomics
  21. Altmetric Badge
    Chapter 20 Progress on Diagnosis of Tuberculous Meningitis
  22. Altmetric Badge
    Chapter 21 Insights of Acute Lymphoblastic Leukemia with Development of Genomic Investigation
Attention for Chapter 11: Revisit of Machine Learning Supported Biological and Biomedical Studies
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
39 Mendeley
Summary 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.
Chapter title
Revisit of Machine Learning Supported Biological and Biomedical Studies
Chapter number 11
Book title
Computational Systems Biology
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7717-8_11
Pubmed ID
29536444
Book ISBNs
978-1-4939-7716-1, 978-1-4939-7717-8
Authors

Yu, Xiang-tian, Wang, Lu, Zeng, Tao, Xiang-tian Yu, Lu Wang, Tao Zeng

Abstract

Generally, machine learning includes many in silico methods to transform the principles underlying natural phenomenon to human understanding information, which aim to save human labor, to assist human judge, and to create human knowledge. It should have wide application potential in biological and biomedical studies, especially in the era of big biological data. To look through the application of machine learning along with biological development, this review provides wide cases to introduce the selection of machine learning methods in different practice scenarios involved in the whole biological and biomedical study cycle and further discusses the machine learning strategies for analyzing omics data in some cutting-edge biological studies. Finally, the notes on new challenges for machine learning due to small-sample high-dimension are summarized from the key points of sample unbalance, white box, and causality.

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

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Master 7 18%
Student > Bachelor 4 10%
Student > Doctoral Student 3 8%
Student > Ph. D. Student 3 8%
Other 5 13%
Unknown 10 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 18%
Computer Science 7 18%
Medicine and Dentistry 7 18%
Agricultural and Biological Sciences 4 10%
Physics and Astronomy 1 3%
Other 3 8%
Unknown 10 26%
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 15 March 2018.
All research outputs
#15,821,622
of 23,498,099 outputs
Outputs from Methods in molecular biology
#5,527
of 13,368 outputs
Outputs of similar age
#272,773
of 444,852 outputs
Outputs of similar age from Methods in molecular biology
#593
of 1,485 outputs
Altmetric has tracked 23,498,099 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 13,368 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 444,852 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,485 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.

This page is provided by Altmetric.