Results 111 to 120 of about 93,670 (312)
<h2>What's Changed</h2> <ul> <li>Fix the default rRNA by @cokelaer in https://github.com/sequana/rnaseq/pull/44</li> </ul> <p><strong>Full Changelog</strong>: https://github.com/sequana/rnaseq/compare/
Thomas Cokelaer, Etienne Kornobis
core +1 more source
RNAseq raw data from Seqcenter (QUO1003393) Illumina sequencing.
Aude Trinquier
core +1 more source
Abstract Aim Liquid biopsy is minimally invasive (compared with tissue biopsy) and has previously been used to generate systems data regarding drug elimination via hepatic enzymes and transporters. This study extends quantitative assessment of systems parameters in liquid biopsy to pharmacodynamic (PD) and disease markers relevant to cancer development
Zubida M. Al‐Majdoub +3 more
wiley +1 more source
andrewholding/RNASeq-SCN5A: Code supporting publication
RNASeq of SCN5A shRNA knockdown in mouse ...
Andrew Holding
core +1 more source
RNAseq Profiling Highlights Immune and Barrier Differences among Ichthyoses
Kunal Malik +4 more
doaj +1 more source
ABSTRACT We here describe mouse models with complementary homozygous Svil mutations. In skeletal muscle, Svil‐Mut mice express the Svil‐encoded N‐terminus fused to the βgal‐neo gene‐trap tag and lack the highly conserved archvillin C‐terminus; Svil‐KO mice lack expression of all known Svil‐encoded proteins; and Svil‐LoxP mice contain loxP sites for ...
Tara C. Smith +9 more
wiley +1 more source
Demonstrating pharmacological effects in early‐phase oncology clinical trials remains challenging, largely due to the lack of robust pharmacodynamic markers. Lipopolysaccharide (LPS) is used as an immune challenge agent in healthy participants to study drugs for autoimmune conditions.
Igor Radanović +11 more
wiley +1 more source
RNAseqPS: A Web Tool for Estimating Sample Size and Power for RNAseq Experiment
Sample size and power determination is the first step in the experimental design of a successful study. Sample size and power calculation is required for applications for National Institutes of Health (NIH) funding.
Yan Guo +4 more
doaj +1 more source
scRNAseq, bulk-RNAseq and Future Deep Learning RNAseq Analysis: Powerful Prediction Tools in Prostate Cancer Therapy [PDF]
Most of the present databases in prostate cancer expression studies are in single-cell and bulk RNA sequencing formats. Using these tools, cell-cell interaction could have revealed associated tumor cell profile signatures like RAECs could be determined ...
Mohammad Hosein Karimi
doaj +1 more source

