Fitting a mixture model by expectation maximization to discover motifs in biopolymers.
Impact in
- Molecular Biology 2.8k
- Plant Science 996
Classified as
- Authors
- Trisha L. BaileyCharles Elkan
- Journal
- PubMed
In The Last Decade
doi.org/w74756049 →Countries where authors are citing Fitting a mixture model by expectation maximization to discover motifs in biopolymers.
This map shows the geographic impact of Fitting a mixture model by expectation maximization to discover motifs in biopolymers.. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fitting a mixture model by expectation maximization to discover motifs in biopolymers. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fitting a mixture model by expectation maximization to discover motifs in biopolymers. more than expected).
Fields of papers citing Fitting a mixture model by expectation maximization to discover motifs in biopolymers.
This network shows the impact of Fitting a mixture model by expectation maximization to discover motifs in biopolymers.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Fitting a mixture model by expectation maximization to discover motifs in biopolymers..
About Fitting a mixture model by expectation maximization to discover motifs in biopolymers.
This paper, published in 1994, received 4.0k indexed citations . Written by Trisha L. Bailey and Charles Elkan covering the research area of Molecular Biology and Artificial Intelligence. It is primarily cited by scholars working on Molecular Biology (2.8k citations), Plant Science (996 citations), Genetics (508 citations), Ecology (197 citations) and Immunology (148 citations). Published in PubMed.
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This paper is also available at doi.org/w74756049.