Publications
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Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
The problem of identifying differentially expressed genes in designed microarray experiments is considered. Lonnstedt and Speed (2002) derived an expression for the posterior od...
Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring
Although cancer classification has improved over the past 30 years, there has been no general approach for identifying new cancer classes (class discovery) or for assigning tumo...
Structure, function and diversity of the healthy human microbiome
Studies of the human microbiome have revealed that even healthy individuals differ remarkably in the microbes that occupy habitats such as the gut, skin and vagina. Much of this...
Aplikasi Analisis Multivariate Dengan Program IBM SPSS 25
Bab 1 : Skala Pengukuran dan Metode Analisis Data Bab 2 : Pengnalan Program SPSS, Aplikasi Statistik Deskriptif dan Crosstab. Bab 3 : Data Screening dan Transformasi data Ba...
Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB
ABSTRACT A 16S rRNA gene database ( http://greengenes.lbl.gov ) addresses limitations of public repositories by providing chimera screening, standard alignment, and taxonomic cl...
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications
The purpose of this study was to classify breast carcinomas based on variations in gene expression patterns derived from cDNA microarrays and to correlate tumor characteristics ...
Non-local Neural Networks
Both convolutional and recurrent operations are building blocks that process one local neighborhood at a time. In this paper, we present non-local operations as a generic family...
The PRISMA 2020 statement: An updated guideline for reporting systematic reviews
The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why ...