Results 231 to 240 of about 10,633,056 (308)

Non-parametric tests

Southwest Respiratory and Critical Care Chronicles, 2014
Shengping Yang, Gilbert Berdine
doaj  

Non parametric differential network analysis: a tool for unveiling specific molecular signatures. [PDF]

BMC Bioinformatics
Guzzi PH, Roy A, Milano M, Veltri P.
europepmc   +1 more source

Structural and biochemical insights into the thermostable esterase Ta0887 from Thermoplasma acidophilum

FEBS Open Bio, EarlyView.
In this study, a novel esterase from the thermoacidophilic archaeon Thermoplasma acidophilum was biochemically and structurally characterized. Our results demonstrate that Ta0887 is a highly thermostable esterase that preferentially hydrolyzes p‐nitrophenyl hexanoate and possesses an α‐helical cap domain that likely contributes to its substrate ...
Alejandro Delgado‐Rey, Miriam Livier Llamas‐García, Gabriela M. Montero‐Morán, Leticia Santos, Samuel Lara‐González   +4 more
wiley   +1 more source

Nonparametric Permutation-based Inference on Round-Robin Design for Clustered Data

, 2018
R. Arboretti, R. Ceccato, L. Corain, L. Salmaso   +3 more
core  

Non-parametric Causal Discovery for EU Allowances Returns Through the Information Imbalance

Salvagnin C, Tatto Vd, De Giuli ME, Mira A, Glielmo A.   +4 more
europepmc   +1 more source

Spatial non-parametric Bayesian clustered coefficients. [PDF]

Sci Rep
Areed WD, Price A, Thompson H, Malseed R, Mengersen K.   +4 more
europepmc   +1 more source

A minimal cellulosome‐like system in Cellulosilyticum lentocellum

FEBS Open Bio, EarlyView.
Cellulose‐degrading bacteria typically use cellulosomes, large multi‐enzyme complexes on a scaffold protein. In Cellulosilyticum lentocellum, we characterise a far smaller arrangement, a single scaffold bound to one cellulase through a single cohesin‐dockerin interaction.
John Allan, Amias Alstrom‐Moore, Gary W Black   +2 more
wiley   +1 more source

Adaptive non-parametric kernel density estimation for under-frequency load shedding with electric vehicles and renewable power uncertainty. [PDF]

Sci Rep
Renhai F, Khan W, Tariq A, Abbas M, Yousaf MZ, Aziz A, Bajaj M, Abdullah M, Tuka M.   +8 more
europepmc   +1 more source

Type I interferons modulate autophagy to shape gemcitabine response in pancreatic cancer cells

FEBS Open Bio, EarlyView.
Type I interferons differentially modulate autophagy and the response of pancreatic cancer cells to gemcitabine. IFNα2b stimulates autophagic flux and protects cells from gemcitabine‐induced cell death, contributing to chemoresistance. In contrast, IFNβ1a inhibits autophagosome formation and enhances gemcitabine‐induced cell death, resulting in ...
Lucy E. Bonilla, Martín M. Ledesma, Santiago A. Behr, Matías A. Pibuel, María L. Palanek, Daniel H. Grasso, Maria N. Garcia, Juan Garona, Silvina L. Lompardía, Elida Álvarez, Daniela L. Papademetrio   +10 more
wiley   +1 more source

Non-parametric Bayesian deep learning approach for whole-body low-dose PET reconstruction and uncertainty assessment. [PDF]

Med Biol Eng Comput
Levital MF, Khawaled S, Kennedy JA, Freiman M.   +3 more
europepmc   +1 more source