Results 31 to 40 of about 425,892 (298)

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

open access: yesMolecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel   +6 more
wiley   +1 more source

LQ-Moments: Application to the Log-Normal distribution [PDF]

open access: yesJournal of Mathematics and Statistics, 2006
Summary: \textit{G. S. Mudolkar} and \textit{A. D. Hutson} [J. Stat. Plann. Inference 71, No.~1--2, 191--208 (1998; Zbl 0981.62039)] extended L-moments to new moments called LQ-moments (LQMOM). The LQMOM are constructed by using functionals defining quick estimators, where the parameters of quick estimators take the values \(p = 0\), \(\alpha = 1\) for
Shabri, Ani, Jemain, Abdul Aziz
openaire   +2 more sources

Mechanisms for log normal concentration distributions in the environment [PDF]

open access: yesScientific Reports, 2021
AbstractLog normal-like concentration distributions are ubiquitously observed in the environment. However, the mechanistic origins are not well understood. In this paper, we show that first order exponential kinetics onsets log-normal concentration distributions, under certain assumptions.
openaire   +3 more sources

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson   +9 more
wiley   +1 more source

Distribution of linear functions from ordered bivariate log-normal distribution [PDF]

open access: yes, 2012
In this work we consider the problem of finding the distribution of linear functions of the minimum and the maximum of the bivariate log-normal distribution. We derive the distribution function, density function and moments of these statistics. This work
Genc, Ali I.
core   +1 more source

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

open access: yesMolecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen   +11 more
wiley   +1 more source

Establishing log reduction values for wastewater treatment processes from ambient influent and effluent pathogen monitoring data

open access: yesFrontiers in Environmental Science, 2022
In developing wastewater treatment regulations and guidelines for potable reuse, the reduction of pathogens is of critical importance. In draft regulations, the state of California has proposed overall treatment process log reduction values (LRVs) of 20,
George Tchobanoglous   +3 more
doaj   +1 more source

EDNRB‐dependent endothelin signaling reduces proliferation and promotes proneural‐to‐mesenchymal transition in gliomas

open access: yesMolecular Oncology, EarlyView.
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau   +36 more
wiley   +1 more source

Discriminating between the Weibull and log‐normal distributions [PDF]

open access: yesNaval Research Logistics (NRL), 2004
AbstractLog‐normal and Weibull distributions are the most popular distributions for modeling skewed data. In this paper, we consider the ratio of the maximized likelihood in choosing between the two distributions. The asymptotic distribution of the logarithm of the maximized likelihood ratio has been obtained.
Kundu, Debasis, Manglick, Anubhav
openaire   +2 more sources

Parameters of log-normal distribution in simulation.

open access: yes, 2019
Parameters of log-normal distribution in simulation.
Zhao-Fa Liu (6990056)   +5 more
core   +1 more source

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