Results 81 to 90 of about 385,160 (293)
Does replication groups scoring reduce false positive rate in SNP interaction discovery?
Background Computational methods that infer single nucleotide polymorphism (SNP) interactions from phenotype data may uncover new biological mechanisms in non-Mendelian diseases. However, practical aspects of such analysis face many problems.
Demsar Janez +3 more
doaj +1 more source
CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3
PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh +12 more
wiley +1 more source
Symmetric directional false discovery rate control [PDF]
This research is motivated from the analysis of a real gene expression data that aims to identify a subset of "interesting" or "significant" genes for further studies. When we blindly applied the standard false discovery rate (FDR) methods, our biology collaborators were suspicious or confused, as the selected list of significant genes was highly ...
Holte, Sarah E., Lee, Eva K., Mei, Yajun
openaire +3 more sources
False negative rate exceeds false positive rate.
A) Posterior distributions of false discovery rate (FDR) and false non-discovery rate (FNDR) estimated by Markov chain Monte Carlo using multi-study influenza RNAi data and the statistical model of multi-study agreement.
Qiuling He (208655) +5 more
core +1 more source
Beyond its role in immune evasion, this study identified that CD47 drives tumor‐intrinsic signaling in non‐small cell lung cancer (NSCLC). Transcriptomic profiling and functional studies revealed that CD47 regulates cell adhesion, migration, and metastasis through an ERK–EMT signaling axis.
Asa P.Y. Lau +8 more
wiley +1 more source
Background As the cost of RNA-sequencing decreases, complex study designs, including paired, longitudinal, and other correlated designs, become increasingly feasible.
Elizabeth A. Wynn +3 more
doaj +1 more source
Sample size determination for the false discovery rate [PDF]
AbstractMotivation: There is not a widely applicable method to determine the sample size for experiments basing statistical significance on the false discovery rate (FDR).Results: We propose and develop the anticipated FDR (aFDR) as a conceptual tool for determining sample size.
Stan Pounds, Cheng Cheng
openaire +2 more sources
EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain +10 more
wiley +1 more source
On a generalized false discovery rate
Published in at http://dx.doi.org/10.1214/08-AOS617 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Sarkar, Sanat K., Guo, Wenge
openaire +3 more sources
FDR Control in the Presence of an Unknown Correlation Structure [PDF]
The false discovery rate (FDR, Benjamini and Hochberg 1995) is a powerful approach to multiple testing. However, the original approach developed by Benjamini and Hochberg (1995) applies only to independent tests.
Lupi, Claudio +2 more
core

