DocumentCode :
1784788
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
fYear :
2014
fDate :
2-5 Nov. 2014
Firstpage :
188
Lastpage :
191
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
Conference_Location :
Belfast
Type :
conf
DOI :
10.1109/BIBM.2014.6999150
Filename :
6999150
Link To Document :
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