Robust evaluation of deep learning-based representation methods for survival and gene essentiality prediction on bulk RNA-seq data
Deep learning (DL) has shown potential to provide powerful representations of bulk RNA-
seq data in cancer research. However, there is no consensus regarding the impact of design …
seq data in cancer research. However, there is no consensus regarding the impact of design …
Reduced gene templates for supervised analysis of scale-limited CRISPR-Cas9 fitness screens
Pooled genome-wide CRISPR-Cas9 screens are furthering our mechanistic understanding
of human biology and have allowed us to identify new oncology therapeutic targets. Scale …
of human biology and have allowed us to identify new oncology therapeutic targets. Scale …
Enhancing Cancer Diagnostics Through Quality-Focused Gene Expression Signature Analyses
J Kreis - 2024 - archiv.ub.uni-heidelberg.de
Analyses of expression profiles between different phenotypes of cancer patient populations
or models led to identifying gene modules, or gene expression signatures, that describe …
or models led to identifying gene modules, or gene expression signatures, that describe …
Charting the genetic architecture of the DNA damage response in human cells
M Olivieri - 2022 - search.proquest.com
Lying at the core of genetic inheritance is the fundamental prerequisite of ensuring correct
transmission of genetic information (Jackson and Bartek 2009). To achieve this goal, cells …
transmission of genetic information (Jackson and Bartek 2009). To achieve this goal, cells …
CRISPRcleanRWebApp: an interactive web application for processing genome-wide pooled CRISPR-Cas9 viability screens
A major limitation of pooled CRISPR-Cas9 viability screens is the high false-positive rate in
detecting essential genes arising from copy number-amplified (CNA) regions of the genome …
detecting essential genes arising from copy number-amplified (CNA) regions of the genome …
[PDF][PDF] Cell-line-specific network models of ER+ breast cancer identify PI3Kα inhibitor sensitivity factors and drug combinations
JGT Zañudo, P Mao, C Alcon, KJ Kowalski… - bioRxiv - researchgate.net
Durable control of invasive solid tumors necessitates identifying therapeutic resistance
mechanisms and effective drug combinations. A promising approach to tackle the cancer …
mechanisms and effective drug combinations. A promising approach to tackle the cancer …
Selecting individualized therapeutic targets using a CRISPR/Cas9 screening pipeline in an in vivo PDX leukemia model
DM Amend - 2024 - mediatum.ub.tum.de
AML and ALL patients require more personalized treatment options. The biomarkers used
for patient-specific treatment decisions are primarily based on descriptive methods. This …
for patient-specific treatment decisions are primarily based on descriptive methods. This …
Cell line-specific network models of ER+ breast cancer identify PI3Kα inhibitor sensitivity factors and drug combinations
Durable control of invasive solid tumors necessitates identifying therapeutic resistance
mechanisms and effective drug combinations. A promising approach to tackle the cancer …
mechanisms and effective drug combinations. A promising approach to tackle the cancer …