Article
Open Access
IDPredictor: predict database links in biomedical database
-
Hendrik Mehlhorn
,
Matthias Lange
Published/Copyright:
October 18, 2016
Published Online: 2016-10-18
Published in Print: 2012-6-1
© 2012 The Author(s). Published by Journal of Integrative Bioinformatics.
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- Computer and Statistical Analysis of Transcription Factor Binding and Chromatin Modifications by ChIP-seq data in Embryonic Stem Cell
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Creative Commons
BY-NC-ND 4.0
Articles in the same Issue
- IDPredictor: predict database links in biomedical database
- Analysis of high-throughput plant image data with the information system IAP
- Oncology In Vivo Data Integration for Hypothesis Generation
- Knowledge Enrichment Analysis for Human Tissue- Specific Genes Uncover New Biological Insights
- Detection of Cardiac Geometry via Difference Intensity of Echocardiogram Images
- Nutrilyzer: A Tool for Deciphering Atomic Stoichiometry of Differentially Expressed Paralogous Proteins
- Integrated simultaneous analysis of different biomedical data types with exact weighted bi-cluster editing
- Transcription Network Analysis by A Sparse Binary Factor Analysis Algorithm
- Predicting breast cancer chemotherapeutic response using a novel tool for microarray data analysis
- Computer and Statistical Analysis of Transcription Factor Binding and Chromatin Modifications by ChIP-seq data in Embryonic Stem Cell
- Microbase2.0: A Generic Framework for Computationally Intensive Bioinformatics Workflows in the Cloud
- Network Expansion and Pathway Enrichment Analysis towards Biologically Significant Findings from Microarrays
