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We set to develop our own ideas and get hired as a design firm.
In this study, we set to develop a versatile tissue-engineered system that can promote important aspects of cardiac functional maturation and reproduce variations in myofiber directions present in native ventricular epicardium.
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Our impact lies not only in the technologies we produce and the commodities we export, but in the example we set to developing nations.
We used our data set to develop gene networks using IPA.
Here, we used the same data set to develop a parasite transmission network.
We used the maritime pine unigene set to develop a 12 k SNP array for use in genetic linkage mapping.
In this paper we use a 2D systems setting to develop new results on iterative learning control for linear plants.
We also used this data set to develop an algorithm for estimating DAS28 scores from linear regression analysis of DAS28 on HAQ-II, pain, and patient global.
To address these challenges, we set out to develop a proteomics array technology analogous to the highly successful nucleic acid hybridization microarray.
In order to achieve this objective, we set out to develop a computational framework that has the potential to combine different inference methodologies, multiple datasets, as well as any pre-existing biological knowledge.
We set out to develop an online resource to provide teachers with materials to facilitate the teaching of health economics for medical students.
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