Results 91 to 100 of about 343,541 (352)
BMC Genomics, 2018 Sequence data used in reconstructing phylogenetic trees may include various sources of error. Typically errors are detected at the sequence level, but when missed, the erroneous sequences often appear as unexpectedly long branches in the inferred ...
U. Mai, S. Mirarab
semanticscholar +1 more source
FEBS Open Bio, EarlyView.Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero +5 more
wiley +1 more source
Differential Learning for Outliers: A Case Study of Water Demand Prediction
Applied Sciences, 2018 Predicting water demands is becoming increasingly critical because of the scarcity of this natural resource. In fact, the subject was the focus of numerous studies by a large number of researchers around the world.
Setu Shah +3 more
doaj +1 more source
Outlier-Prone and Outlier-Resistant Distributions [PDF]
Journal of the American Statistical Association, 1976 Abstract Neyman and Scott [3] have considered the ideas of outlier-proneness and outlier-resistance of families of distributions. Under their definition, individual distributions (one-member families) cannot be outlier-prone. This paper offers definitions of outlier-proneness and outlier-resistance that apply to individual distributions, and theorems ...
openaire +1 more source
FEBS Open Bio, EarlyView.In a murine model of myocardial ischemia and reperfusion (MI/R), the CD36 azapeptide ligand MPE‐298 reduces cardiac injury and transiently lowers left ventricular long‐chain fatty acids (LCFAs) accumulation 3 h after reperfusion, accompanied by a decrease of oxidative stress and inflammation‐associated genes' expression in the heart and adipose tissue.
Jade Gauvin +12 more
wiley +1 more source
Pendeteksian Outlier pada Regresi Nonlinier dengan Metode statistik Likelihood Displacement
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2012 Outlier is an observation that much different (extreme) from the other observational data, or data can be interpreted that do not follow the general pattern of the model. Sometimes outliers provide information that can not be provided by other data. That'
Siti Tabi'atul Hasanah
doaj +1 more source
FEBS Open Bio, EarlyView.The crystal structure of Borrelia burgdorferi nicotinamidase (PncA/BBE22) reveals the correct full‐length protein initiated from a non‐canonical AUU start codon. The structure validates previous biochemical findings and resolves a long‐standing annotation error, demonstrating that the truncated database sequence is structurally incompatible with the ...
Kalvis Brangulis
wiley +1 more source
Outlier robust small area estimation
, 2011 Recently proposed outlier robust small area estimators can be substantially biased when outliers are drawn from a distribution that has a different mean from that of the rest of the survey data.
Chandra, Hukum +3 more
core
Transcripts enriched in codons that trigger P‐site tRNA‐mediated mRNA decay possess stable mRNA
FEBS Open Bio, EarlyView.PTMD codons were first described by Mendel et al. as mediators of an mRNA decay pathway dependent on the human protein CNOT3, homologous to yeast Not5. Our findings confirm that PTMD codons destabilize transcripts; however, unlike in yeast, the human pathway specifically targets and slightly destabilizes primarily stable mRNAs.
Rodolfo Lopes Carneiro +1 more
wiley +1 more source
Multiple outlier detection in multivariate data using projection pursuit techniques
, 2000 Using projection pursuit techniques, in this paper we propose a procedure to detect multiple outliers in multivariate data. The basic idea behind this procedure is to project the multivariate data to univariate observations and then to apply an ...
Fung, WK +8 more
core +1 more source