- John S Garavelli, University of Delaware
- Adam Godzik, Sanford-Burnham Medical Research Institute and UCSD
- Adam Olshen, University of California, San Francisco
- Hanchuan Peng, Allen Institute for Brain Science
- Graziano Pesole, University of Bari
- Olivier Poch, ICube Laboratory, Strasbourg
- Mihai Pop, University of Maryland
- Hagit Shatkay, University of Delaware
- Irene Pala, BioMed Central
PredSTP predicts cystine stabilized toxins with a compact tri-disulfide domain, and shortens the discovery time for new antimicrobial peptides and other bioactive drug candidates.
The ISOpureR open source package estimates the fraction of cancer cells and identifies individual profiles of mRNA abundance in heterogeneous tumour samples, without the need for a paired tumour-normal sample.
A deep convolutional neural network approach for the automated analysis of in situ hybridization images allows for an efficient annotation of organ-wide gene expression patterns in the mouse brain.
The evaluation of machine learning algorithms on text categorization identifies a combination of features that improve performance in medical subject headings (MeSH) indexing.
BMC Bioinformatics 2015, 16:226
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