(Differential) co-expression analysis of gene expression: a survey of best practices
HA Chowdhury, DK Bhattacharyya… - IEEE/ACM transactions …, 2019 - ieeexplore.ieee.org
Analysis of gene expression data is widely used in transcriptomic studies to understand
functions of molecules inside a cell and interactions among molecules. Differential co …
functions of molecules inside a cell and interactions among molecules. Differential co …
Differential expression analysis of RNA-seq reads: overview, taxonomy, and tools
HA Chowdhury, DK Bhattacharyya… - IEEE/ACM transactions …, 2018 - ieeexplore.ieee.org
Analysis of RNA-sequence (RNA-seq) data is widely used in transcriptomic studies and it
has many applications. We review RNA-seq data analysis from RNA-seq reads to the results …
has many applications. We review RNA-seq data analysis from RNA-seq reads to the results …
VCNet: vector-based gene co-expression network construction and its application to RNA-seq data
Motivation Building gene co-expression network (GCN) from gene expression data is an
important field of bioinformatic research. Nowadays, RNA-seq data provides high …
important field of bioinformatic research. Nowadays, RNA-seq data provides high …
Survey of methods used for differential expression analysis on rna seq data
R Joshi, R Sarmah - Biologically Inspired Techniques in Many-Criteria …, 2020 - Springer
Gene expression indicates the amount of mRNA produced by a gene under a particular
biological condition. Genes responsible for changes in biological conditions of an organism …
biological condition. Genes responsible for changes in biological conditions of an organism …
Flexible Statistical Methods for Jointly Modeling Effects
SM Urbut - 2017 - search.proquest.com
We introduce new statistical methods for analyzing genomic datasets that measure many
effects in many conditions (eg gene expression changes under many treatments). These …
effects in many conditions (eg gene expression changes under many treatments). These …
Methodology for estimating association between categorical variables with application to Genome-wide association studies (GWAS)
F Cortés Muñoz - 2019 - repositorio.unal.edu.co
En varios contextos de análisis de datos genómicos, una gran cantidad de hipótesis
estadísticas se ponen a prueba al mismo tiempo sobre un mismo conjunto de datos. En …
estadísticas se ponen a prueba al mismo tiempo sobre un mismo conjunto de datos. En …
Construcción de redes de regulación génica usando datos de secuenciación de ARN
CA González Prieto - 2018 - repositorio.unal.edu.co
La utilización de datos de secuenciación de ARN se ha convertido en un reto en cuanto a la
construcción de métodos estadísticos que permitan analizar, entre otras cosas, la …
construcción de métodos estadísticos que permitan analizar, entre otras cosas, la …
[PDF][PDF] Comparing multiple conditions with the same reference level using MASH
When we estimate and compare the gene expression in multiple conditions withe the same
reference level, we want to estimate them jointly using mash to gain more power. But failure …
reference level, we want to estimate them jointly using mash to gain more power. But failure …
Analysis of microarray and next generation sequencing data for classification and biomarker discovery in relation to complex diseases
V Elyasigomari - 2017 - qmro.qmul.ac.uk
This thesis presents an investigation into gene expression profiling, using microarray and
next generation sequencing (NGS) datasets, in relation to multi-category diseases such as …
next generation sequencing (NGS) datasets, in relation to multi-category diseases such as …