Artikel
Open Access
Probabilistic Latent Semantic Analysis Applied to Whole Bacterial Genomes Identifies Common Genomic Features
-
J. Rusakovica
und
P. Zuliani
Veröffentlicht/Copyright:
18. Oktober 2016
Published Online: 2016-10-18
Published in Print: 2014-6-1
© 2014 The Author(s). Published by Journal of Integrative Bioinformatics.
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- Classification of Breast Cancer Subtypes by combining Gene Expression and DNA Methylation Data
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- The Topology of the Growing Human Interactome Data
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- A distributed computational search strategy for the identification of diagnostics targets: Application to finding aptamer targets for methicillin-resistant staphylococci
- Probabilistic Latent Semantic Analysis Applied to Whole Bacterial Genomes Identifies Common Genomic Features
- BacillusRegNet: A transcriptional regulation database and analysis platform for Bacillus species
Creative Commons
BY-NC-ND 4.0
Artikel in diesem Heft
- Classification of Breast Cancer Subtypes by combining Gene Expression and DNA Methylation Data
- A Query Suggestion Workflow for Life Science IR-Systems
- The Topology of the Growing Human Interactome Data
- VANESA - A Software Application for the Visualization and Analysis of Networks in Systems Biology Applications
- Integrating Sequence Analysis with Biophysical Modelling for Accurate Transcription Start Site Prediction
- BioNetLink - An Architecture for Working with Network Data
- A distributed computational search strategy for the identification of diagnostics targets: Application to finding aptamer targets for methicillin-resistant staphylococci
- Probabilistic Latent Semantic Analysis Applied to Whole Bacterial Genomes Identifies Common Genomic Features
- BacillusRegNet: A transcriptional regulation database and analysis platform for Bacillus species
