EmbriologiaClinicaMoorepdf
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EmbriologiaClinicaMoorepdf is a software that provides a set of tools for the anatomic, histological, and embryological study of the brain of humans and other animal species. The application works like a virtual microscope, allowing the user to observe and understand the structure of the brain without destroying it and without the use of any special tools. Operation: the program provides viewers of the same type of the X-Y images (transformation of images, rotations, zooms, etc.) and also provides a drawing of the brain Data: images can be loaded and saved to a folder or can be uploaded to a server; the code is distributed with layers separated for histological, cytoarchitectonic and fiber transmission studies; some functions can also be easily restored from the text file in which they are encoded Interactivity: the "to" and "from" selections enable the insertion or deletion of layers; "zoom" can also be selected only for projection of a layer from the selected area; "add links" allows the display of a selected layer Metadata: the program has a specific project file that allows it to open, save and resume workspaces with a layer "base" of any other layer, a configuration with only one window, the possibility to merge workspaces, copying layers between files or creation of links to the movement of layers, etc.
embriologiaclinicamoorepdf is a new electronic version of embriologia clinica moore , a spanish language publication of the institute for the eradication of racism from medicine . embriologiaclinicamoorepdf have a similar structure to the previous release and has the same functionality as clinica emri , including access to the most recent publications from the journal. it is hoped that embriologiaclinicamoorepdf will be the first step in the process to create a single, authoritative electronic source of information on racism in the spanish speaking medical community. d8a7b2ff72
embriologiaclinicamoorepdf is an extension to embriologiaclinica2d.doc in which the electronic medical record of the patient is incorporated with the result from the test. as the result is a list of abnormalities, the patient is represented as a list of observations with abnormalities. it is also possible to draw a timeline of the patient's development.
the embriologiaclinicamoorepdf package represents the analysis of the results of a genetic test. it provides a multiple imputation model and data from previous tests. it is a fundamental package to handle missing data in a pedigogical way, because it contains imputation models based on the'mice' package (van buuren, [2004](#apa13363-bib-0013){ref-type="ref"}). package description {#apa13363-sec-0006} =================== imputation model {#apa13363-sec-0007} ---------------- the embriologiaclinicamoorepdf package imputes the missing values of different variables (codon, position, and allelic status). the imputation model uses all the information that is present in the pedigree. the following input data are needed: records of the previous test, records of the genotype, missing data status for each variable (missing or observed), the pedigree structure and the kinship matrix. the input variables, pedigree structure and kinship matrix are generated automatically, and the imputation model is automatically run (see figure [1](#apa13363-fig-0001){ref-type="fig"}). {#apa13363-fig-0001} data output {#apa13363-sec-0008} ----------- the data are stored in a ".ped" object. the data include the following: individuals, genotypes, missing data, variables (allelic status, codon, position and allele), data frame, pedigree structure, kinship matrix, the imputation model, output, the imputation and the error. data analysis {#apa13363-sec-0009} ------------- ### missing data {#apa13363-sec-0010} the missing data are imputed by the embriologiaclinicamoorepdf package. the missing data are imputed using the'mice' package (van buuren, [2004](#apa13363-bib-0013){ref-type="ref"}). ### imputation {#apa13363-sec-0011} imputation is performed by the'mice' package (van buuren, [2004](#apa13363-bib-0013){ref-type="ref"}). the available options of the'mice' package are: pairwise, individual, and global. in the pairwise imputation, the missing values in the observations are imputed using the values of the other observed values. the individual imputation uses the values of the other observations of the same individual. the global imputation imputes the values of the missing observations using the values of the other observations. the'mice' package performs the imputation considering the pedigree structure (figure [1](#apa13363-fig-0001){ref-type="fig"}). ### analysis {#apa13363-sec-0012} the analysis is performed by the 'pedgenome' package (siau et al., [2016](#apa13363-bib-0012){ref-type="ref"}). the analysis of the following variables is performed: genotype, missing data, allelic status, codon, position and allelic status. the analysis is performed for the following variables: individuals, genotypes, missing data, allelic status, codon, position and allelic status. a p‐value of