Title :
Budgeted transcript discovery: A framework for joint exploration and validation studies
Author :
Khan, Sharifullah ; Greiner, Russell
Author_Institution :
Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB, Canada
Abstract :
This paper presents the budgeted transcript discovery problem (BTD): deciding how to spend a given research budget collecting data, using a combination of microarrays and PCRs, to discover which transcripts are differentially expressed with respect to a given phenotype. We present algorithms that address this task by sequentially analyzing the data collected so far, to decide which data would be most informative to collect next. We provide empirical studies that demonstrate their effectiveness.
Keywords :
bioinformatics; biological techniques; data acquisition; BTD; PCR; budgeted transcript discovery problem; empirical studies; joint exploration; microarrays; phenotype; research budget collecting data; validation studies; Algorithm design and analysis; Bioinformatics; Biological system modeling; Biomarkers; Gene expression; Testing; Microarray; association studies; feature selection;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
Conference_Location :
Belfast
DOI :
10.1109/BIBM.2014.6999150