Machine Learning in Bioinformatics

This cluster of papers focuses on the prediction of protein subcellular localization using various computational methods such as amino acid composition, machine learning algorithms like support vector machines, and the analysis of signal peptides and transmembrane topology. The research aims to improve the accuracy and reliability of predicting the subcellular location of proteins, which has significant implications for understanding protein function and cellular processes.

Journals publishing in this area

1

Bioinformatics

ISSN 1367-48032,238 articles in this topic

564h-index

5.42Impact

19.3KArticles

2.7MCitations

2

BMC Bioinformatics

ISSN 1471-21051,658 articles in this topic

311h-index

4.21Impact

13.1KArticles

843.7KCitations

3

Nucleic Acids Research

ISSN 0305-10481,122 articles in this topic

871h-index

12.79Impact

55.8KArticles

6MCitations

4

Proteins Structure Function and Bioinformatics

ISSN 0887-3585723 articles in this topic

260h-index

1.54Impact

10.2KArticles

488.4KCitations

5

Journal of Theoretical Biology

ISSN 0022-5193556 articles in this topic

282h-index

1.50Impact

18.2KArticles

714.6KCitations

6

Journal of Proteome Research

ISSN 1535-3893455 articles in this topic

219h-index

3.06Impact

10.9KArticles

471.9KCitations

7

BioMed Research International

BioMed Research International

ISSN 2314-6133232 articles in this topic

246h-index

0.88Impact

26.7KArticles

781.7KCitations

8

Protein Science

ISSN 0961-8368222 articles in this topic

249h-index

2.76Impact

9.9KArticles

490.5KCitations

9

Genome Research

Genome Research

ISSN 1088-9051155 articles in this topic

409h-index

7.09Impact

6.4KArticles

1.1MCitations

10

Genome biology

ISSN 1474-7596152 articles in this topic

363h-index

7.95Impact

5.9KArticles

972.4KCitations

11

International Journal of Computing Programming and Database Management

ISSN 2707-66363 articles in this topic

2h-index

0.04Impact

174Articles

235Citations