From RNA sequencing measurements to the final results: a practical guide to navigating the choices and uncertainties of gene set analysis

Type: Preprint

Publication Date: 2023-01-01

Citations: 0

DOI: https://doi.org/10.48550/arxiv.2308.15171

Locations

  • arXiv (Cornell University) - View - PDF
  • DataCite API - View

Similar Works

Action Title Year Authors
+ Computational methods for differentially expressed gene analysis from RNA-Seq: an overview. 2021 Juliana Costa-Silva
Douglas Silva Domingues
David Menotti
Mariangela Hungría
Fabrício Martins Lopes
+ Computational methods for differentially expressed gene analysis from RNA-Seq: an overview 2021 Juliana Costa-Silva
Douglas Silva Domingues
David Menotti
Mariangela Hungría
Fabricio M Lopes
+ PDF Chat Selecting between-sample RNA-Seq normalization methods from the perspective of their assumptions 2017 Ciaran Evans
Johanna Hardin
Daniel M. Stoebel
+ PDF Chat How many biological replicates are needed in an RNA-seq experiment and which differential expression tool should you use? 2016 Nick Schurch
Pietá Schofield
Marek Gierliński
Christian Cole
Alexander Sherstnev
Vijender Singh
Nicola Wrobel
Karim Gharbi
Gordon G. Simpson
Tom Owen‐Hughes
+ Selecting between-sample RNA-Seq normalization methods from the perspective of their assumptions 2016 Ciaran Evans
Johanna Hardin
Daniel M. Stoebel
+ Selecting between-sample RNA-Seq normalization methods from the perspective of their assumptions 2016 Ciaran Evans
Johanna Hardin
Daniel M. Stoebel
+ PDF Chat RNA-seq data science: From raw data to effective interpretation 2023 Dhrithi Deshpande
Karishma Chhugani
Yutong Chang
Aaron Karlsberg
Caitlin Loeffler
Jinyang Zhang
Agata Muszyńska
Viorel Munteanu
Harry Taegyun Yang
Jeremy Rotman
+ RNA-seq data science: From raw data to effective interpretation 2020 Dhrithi Deshpande
Karishma Chhugani
Yutong Chang
Aaron Karlsberg
Caitlin Loeffler
Jinyang Zhang
Agata Muszyńska
Jeremy Rotman
Laura Tao
Brunilda Balliu
+ Depth normalization of small RNA sequencing: using data and biology to select a suitable method 2022 Yannick Düren
Johannes Lederer
Li‐Xuan Qin
+ Modeling and analysis of RNA-seq data: a review from a statistical perspective 2018 Wei Vivian Li
Jingyi Jessica Li
+ Depth Normalization of Small RNA Sequencing: Using Data and Biology to Select a Suitable Method 2022 Yannick Düren
Johannes Lederer
Li‐Xuan Qin
+ Modeling and analysis of RNA‐seq data: a review from a statistical perspective 2018 Wei Vivian Li
Jingyi Jessica Li
+ PDF Chat Comparison of algorithms used in single-cell transcriptomic data analysis 2024 Jafar Isbarov
Elmir Mahammadov
+ A reproducible effect size is more useful than an irreproducible hypothesis test to analyze high throughput sequencing datasets 2018 Andrew D. Fernandes
Michael Vu
Lisa-Monique Edward
Jean M. Macklaim
Gregory B. Gloor
+ PDF Chat Evaluation of tools for differential gene expression analysis by RNA-seq on a 48 biological replicate experiment 2015 Nick Schurch
Pietá Schofield
Marek Gierliński
Christian Cole
Alexander Sherstnev
Vijender Singh
Nicola Wrobel
Karim Gharbi
Gordon G. Simpson
Tom Owen‐Hughes
+ PDF Chat Count-based differential expression analysis of RNA sequencing data using R and Bioconductor 2013 Simon Anders
Davis J. McCarthy
Yunshun Chen
Michał Okoniewski
Gordon K. Smyth
Wolfgang Huber
Mark D. Robinson
+ A reproducible effect size is more useful than an irreproducible hypothesis test to analyze high throughput sequencing datasets 2018 Andrew D. Fernandes
Michael Vu
Lisa-Monique Edward
Jean M. Macklaim
Gregory B. Gloor
+ cellanneal: A User-Friendly Deconvolution Software for Omics Data 2021 Lisa Buchauer
Shalev Itzkovitz
+ RLeave: an in silico cross-validation protocol for transcript differential expression analysis 2020 Matheus Costa e Silva
Norma Lucena‐Silva
Juliana Doblas Massaro
Eduardo Antônio Donadi
+ Comprehensive evaluation of differential expression analysis methods for RNA-seq data 2013 Franck Rapaport
Raya Khanin
Yupu Liang
Azra Krek
Paul Zumbo
Christopher E. Mason
Nicholas D. Socci
Doron Betel

Works That Cite This (0)

Action Title Year Authors

Works Cited by This (0)

Action Title Year Authors