Five proteins were selected from the top 2% scoring targets by some customized criteria for further experimental evaluation.
The simple data-driven analysis may produce some misleading results for further experimental studies.
The analysis of high-scoring candidate genes for brain and liver specific expression suggests that our approach can select some interesting targets for further experimental studies.
The results suggest that the machine learning approach developed in the present study can be used to identify some interesting targets for further experimental studies.
Additionally, some areas in need of further experimental research are highlighted in this paper.
Finally, using differentially expressed genes found in lung cancer microarray data as a case study, we discovered some potential cancer genes for further experimental investigation.
The candidate genes for brain, liver and testis-selective expression have been examined, and the results suggest that our approach can select some interesting gene targets for further experimental studies.
Expressed sequence tag data was used to provide further experimental support for some sequences in the hypothetical T. gondii proteome.
Expressed sequence tag data was used to provide further experimental support for some proteins in the T. gondii proteome.
