Titlebook: JIMD Reports - Case and Research Reports, 2012/1; c/o ACB Book 2012 SSIEM and Springer-Verlag Berlin Heidelberg 2012 endocrinology.inherit

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Laura Rodríguez-Pascau,Maria Josep Coll,Josefina Casas,Lluïsa Vilageliu,Daniel Grinberg

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Tessa Wassenberg,Leo A. H. Monnens,Ben P. B. H. Geurtz,Ron A. Wevers,Marcel M. Verbeek,Michèl A. A.

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rming 3,985 single gene knockout mutants from the Keio collection with a plasmid that can confer aerobic growth on citrate. In our preliminary screen, we identified 111 genes putatively necessary for expression of the Cit+ trait. Of these, ∼ 32% are involved in core metabolic pathways, including the

EXULT

seroma

CLEFT

Cristina Villar,Jaume Campistol,Carmen Fons,Judith Armstrong,Anna Mas,Aida Ormazabal,Rafael Artuchhe UC Irvine AI Repository database. For results appraisal, random forest (RF) was contrasted and elective machine learning ways like linear regression (LR), support vector machine (SVM), Naive Bayes (NB), gradient boosting classifier (GBM), artificial neural network (ANN) and recognized to have the

acclimate

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Piotr Buda,Anna Wieteska-Klimczak,Janusz Ksiazyk,Piotr Gietka,Anna Smorczewska-Kiljan,Maciej Pronickene which is present in chromosome 17. So, the TP53, a coding gene that is responsible for the production of P53 protein has been taken as a reference gene for the identification of cancer. A visual mutation identification technique using color encodings is also added which makes the user easily ide

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