2020年11月8日 · Use a normalization-invariant minimum enclosing ball (NIMEB) method to discriminate differential expression (DE) genes in the same or different species.

Using the Minimum Enclosing Ball (MEB) method to discriminate differential expression genes (DEGs) without prior cell clustering results. Usage scMEB(sce, stable_idx, filtered = FALSE, gamma = seq(1e-04,0.001,1e-05), nu = 0.01, reject_rate = 0.1) Arguments sce A SingleCellExperiment class scRNA-seq data.

2024年10月29日 · We have implemented the SFMEB method via an R function NIMEB(). The method consists three steps. Step 1: Data Pre-processing; Step 2: Training a model for the training genes; Step 3: Discriminating a gene whether a DE gene. We employ a simulation and real dataset for the same and different species to illustrate the usage of the SFMEB method.

Análisis morfológicos y anatómicos del tegumento seminal con microscopía electrónica de barrido (MEB).-En la superficie de las semilla de D. incanum de grado 1 (Fig. 1A) y grado 3 (Fig. 1B) de...

#' Detect differential expression genes for RNA-seq data #' @description Use a normalization-invariant minimum enclosing ball (NIMEB) #' method to discriminate differential expression (DE) genes in the same or #' different species. #' @usage NIMEB(countsTable, train_id, gamma, nu = 0.01, reject_rate = 0.1, #' ds = FALSE) #' @param countsTable ...

The Berkson Measurement Error (MEB) model Parametrization This is an implementation of the Berksom measurement error model for a fixed effect. The observed covariate is w but it is x that goes into the linear predictor η = ...+βx+... , where x = w+u. The error term u is Gaussian with prior N(0,τ uD)1, where τ u is the observational

Package ‘MEB’ October 17, 2020 Type Package Title A normalization-invariant minimum enclosing ball method to detect differentially expressed genes for RNA-seq data Version 1.2.0 Author Yan Zhou, Jiadi Zhu Maintainer Jiadi Zhu <[email protected]>, Yan Zhou <[email protected]> Description Identifying differentially expressed ...

The SI prefix "milli" represents a factor of 10-3, or in exponential notation, 1E-3. So 1 milliexabyte = 10 -3 exabytes. The definition of a exabyte is as follows:

an optional string, specify which Gaussian mixture model is used in evaluting the initial values for iSC.MEB, default as "EEE"; and see Mclust for more models' names. init.start. an optional number of times to calculate the initial value (1 by default).

2024年10月29日 · We have implemented the SFMEB method via an R function NIMEB(). The method consists three steps. Step 1: Data Pre-processing; Step 2: Training a model for the training genes; Step 3: Discriminating a gene whether a DE gene. We employ a simulation and real dataset for the same and different species to illustrate the usage of the SFMEB method.