Results 111 to 120 of about 419,428 (264)

Transcriptome‐wide analysis of circRNA and RBP profiles and their molecular relevance for GBM

open access: yesMolecular Oncology, EarlyView.
CircRNAs are differentially expressed in glioblastoma primary tumors and might serve as therapeutic targets and diagnostic markers. The investigation of circRNA and RNA‐binding proteins (RBPs) interactions shows that distinct RBPs play a role in circRNA biogenesis and function.
Julia Latowska‐Łysiak   +14 more
wiley   +1 more source

A potential biomarker of cognitive impairment: The olfactory dysfunction and its genes expression

open access: yesAnnals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1884-1897, December 2022., 2022
Abstract Objective Accumulation evidence has reported that olfactory impairment may be an essential clinical marker and predictor of mild cognitive impairment or Alzheimer's disease. Method Participants were enrolled in the population‐based, prospective study in Fuxin county, Liaoning province, China between 2019 and 2021.
Jiayi Song   +11 more
wiley   +1 more source

A unified Bayesian framework for interval hypothesis testing in clinical trials [PDF]

open access: yesarXiv
The American Statistical Association (ASA) statement on statistical significance and P-values \cite{wasserstein2016asa} cautioned statisticians against making scientific decisions solely on the basis of traditional P-values. The statement delineated key issues with P-values, including a lack of transparency, an inability to quantify evidence in support
arxiv  

Hypothesis Testing based Intrinsic Evaluation of Word Embeddings [PDF]

open access: yesarXiv, 2017
We introduce the cross-match test - an exact, distribution free, high-dimensional hypothesis test as an intrinsic evaluation metric for word embeddings. We show that cross-match is an effective means of measuring distributional similarity between different vector representations and of evaluating the statistical significance of different vector ...
arxiv  

Statistical fractal analysis in testing the Hypotheses with imprecise data

open access: yesMethodsX
A new statistical hypothesis testing procedure using fractal analysis, incorporating the concept of lacunarity for interval population parameters when the sample data are real intervals, is introduced.
D. Kalpanapriya   +3 more
doaj  

Targeting the MDM2‐MDM4 interaction interface reveals an otherwise therapeutically active wild‐type p53 in colorectal cancer

open access: yesMolecular Oncology, EarlyView.
This study investigates an alternative approach to reactivating the oncosuppressor p53 in cancer. A short peptide targeting the association of the two p53 inhibitors, MDM2 and MDM4, induces an otherwise therapeutically active p53 with unique features that promote cell death and potentially reduce toxicity towards proliferating nontumor cells.
Sonia Valentini   +10 more
wiley   +1 more source

Vascular endothelial‐cadherin as a marker of endothelial injury in preclinical Alzheimer disease

open access: yesAnnals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1926-1940, December 2022., 2022
Abstract Objective Endothelial dysfunction is an early and prevalent pathology in Alzheimer disease (AD). We here investigate the value of vascular endothelial‐cadherin (VEC) as a cerebrospinal fluid (CSF) marker of endothelial injury in preclinical AD.
Rawan Tarawneh   +5 more
wiley   +1 more source

A Sampling-based Framework for Hypothesis Testing on Large Attributed Graphs [PDF]

open access: yesarXiv
Hypothesis testing is a statistical method used to draw conclusions about populations from sample data, typically represented in tables. With the prevalence of graph representations in real-life applications, hypothesis testing in graphs is gaining importance. In this work, we formalize node, edge, and path hypotheses in attributed graphs. We develop a
arxiv  

A method for parameter hypothesis testing in nonparametric regression with Fourier series approach

open access: yesMethodsX, 2023
Nonparametric regression model with the Fourier series approach was first introduced by Bilodeau in 1994. In the later years, several researchers developed a nonparametric regression model with the Fourier series approach.
Mustain Ramli   +2 more
doaj  

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

open access: yesMolecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes   +20 more
wiley   +1 more source

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