Data

Tools

Indexes

Applications

Experiments

Papers

Papers: 10.15252/emmm.201809443

https://doi.org/10.15252/emmm.201809443

<scp>PDX</scp> models recapitulate the genetic and epigenetic landscape of pediatric T‐cell leukemia

Cited by: 35
Author(s): Paulina Richter-Pechańska, Joachim Kunz, Beat Bornhäuser, Caroline Von Knebel Doeberitz, Tobias Rausch, Büşra Erarslan-Uysal, Yassen Assenov, Viktoras Frismantas, Blerim Marovca, Sebastian M. Waszak, Martin Zimmermann, Julia Seemann, Margit Happich, Martin Stanulla, Martin Schrappe, Gunnar Cario, Gabriele Escherich, Kseniya Bakharevich, Renate Kirschner-Schwabe, Cornelia Eckert, Martina U. Muckenthaler, Jan O. Korbel, Jean‐Pierre Bourquin, Andreas E. Kulozik
Published: almost 8 years ago

Software Mentions 12

bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
Very Likely Science (100)
bioconductor: DNAcopy
DNA Copy Number Data Analysis
Papers that mentioned: 154
Very Likely Science (100)
bioconductor: RnBeads
RnBeads
Papers that mentioned: 145
Very Likely Science (90)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
cran: mem
The Moving Epidemic Method
Papers that mentioned: 28
Very Likely Science (99)
cran: reshape2
Flexibly Reshape Data: A Reboot of the Reshape Package
Papers that mentioned: 421
Very Likely Science (95)
cran: scales
Scale Functions for Visualization
Papers that mentioned: 104
Very Likely Science (100)
pypi: 2
Papers that mentioned: 499
Unlikely Science (0)
pypi: bwa
Bwa: Simple Notification Sender(Discord, Slack, Gmail and Telegram)
Papers that mentioned: 989
Very Likely Science (65)
pypi: MACS2
Model Based Analysis for ChIP-Seq data
Papers that mentioned: 1,203
Very Likely Science (100)
pypi: mem
memorize tool
Papers that mentioned: 28
Very Likely Science (65)
pypi: scales
Stats for Python processes
Papers that mentioned: 104
Very Likely Science (65)