نتایج جستجو برای: identification and selection

تعداد نتایج: 16940729  

The commercial availability of random peptide libraries displayed on the M13 phage is increasing their use forstudies on epitope identification, enzyme inhibitors, receptor ligands, etc. In this study two experimentswhere planned for selection of peptides. First with sheep antibodies, the positive selector was IgG, preparedon Protein G column from a pool of 11 sheeps immunized...

Journal: :Econometric Theory 2023

This paper proposes a robust moment selection method aiming to pick the best model even if this is condition with mixed identification strength, that is, conditions including functions are local zero uniformly over parameter set. We show relevant procedure of Hall et al. (2007, Journal Econometrics 138, 488–512) inconsistent in setting as it does not explicitly account for rate convergence esti...

Journal: :international journal of agricultural science and research 2012
p. khazaeli h. zamanizadeh b. morid h. bayat

botrytis cinerea is an important pathogen that causes diseases in ornamental crops. in presentresearch several greenhouses of roses located in central region of iran were surveyed toidentify the botrytis cinerea. a total of 80 isolates were collected from rose greenhouses incentral region of iran. morphological identification was based on characters such asconidiophore and conidial length. acco...

Journal: :Scientific and Technical Journal of Information Technologies, Mechanics and Optics 2018

1997
M. H. B. Wigdorowitz

When performing nonlinear system identification few tools exist for the a priori nonlinear model structure selection of the nonlinear system. This paper presents a possible approach as a first step towards selecting a nonlineAtr system model structure, based on using the results of Lyapunov exponents, Poincar~ maps and dimension techniques. The approach is illusUated by applying it to the Chua ...

Background: Microarray experiments can simultaneously determine the expression of thousands of genes. Identification of potential genes from microarray data for diagnosis of cancer is important. This study aimed to identify genes for the diagnosis of acute myeloid and lymphoblastic leukemia using a sparse feature selection method. Materials and Methods: In this descriptive study, the expressio...

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