The identification of genes underlying a complex phenotype can be a massive undertaking, and may require a much larger sample size than thought previously. The integration of such large volumes of clinical and laboratory data has become a major challenge. In this paper we describe a network-based da
โฆ LIBER โฆ
Knowledge of African foods: a network of laboratories and a data bank
โ Scribed by J.-C. Favier; J. Ireland-Ripert
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 138 KB
- Volume
- 57
- Category
- Article
- ISSN
- 0308-8146
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