Results 101 to 110 of about 1,875,600 (283)
Teaching & Learning Inquiry: The ISSOTL Journal, 2016 Quantitative results from empirical studies are common in the field of Scholarship of Teaching and Learning (SoTL), but it is important to remain aware of what the results from our studies can, and cannot, tell us. Oftentimes studies conducted to examine
April McGrath
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Molecular Oncology, EarlyView.Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla +9 more
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BarekengThe study highlighted three essential roles of retrospective analysis in hypothesis testing, particularly as a priori analysis, post hoc analysis, and sensitivity analysis.
Karunia Eka Lestari +4 more
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Molecular Oncology, EarlyView.Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
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Turning the Hands of Time Again: A Purely Confirmatory Replication Study and a Bayesian Analysis
Frontiers in Psychology, 2015 In a series of four experiments, Topolinski and Sparenberg (2012; TS) found support for the conjecture that clockwise movements induce psychological states of temporal progression and an orientation toward the future and novelty.
Eric-Jan eWagenmakers +12 more
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The power of forgetting in statistical hypothesis testing
, 2023 This paper places conformal testing in a general framework of statistical hypothesis testing. A standard approach to testing a composite null hypothesis $H$ is to test each of its elements and to reject $H$ when each of its elements is rejected. It turns out that we can fully cover conformal testing using this approach only if we allow forgetting some ...
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An Introduction to Statistics: Understanding Hypothesis Testing and Statistical Errors
Indian Journal of Critical Care Medicine, 2019 The second article in this series on biostatistics covers the concepts of sample, population, research hypotheses and statistical errors.Ranganathan P, Pramesh CS. An Introduction to Statistics: Understanding Hypothesis Testing and Statistical Errors. Indian J Crit Care Med 2019;23(Suppl 3):S230-S231.
Ranganathan, Priya, Pramesh, CS
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Molecular Oncology, EarlyView.Targeted therapy was evaluated in SHH medulloblastoma using neuroepithelial stem cell (NES) and tumor‐derived NES‐like (tNES) models in 2D monolayers and 3D spheroids. PI3K, AKT, and CDK4/6 inhibitors had minimal effects in NES but markedly reduced viability and growth and induced apoptosis in tNES cells, revealing distinct therapeutic vulnerabilities.
Monika Lukoseviciute +4 more
wiley +1 more source
The Impact of Pathway Database Choice on Statistical Enrichment Analysis and Predictive Modeling
Frontiers in Genetics, 2019 Pathway-centric approaches are widely used to interpret and contextualize -omics data. However, databases contain different representations of the same biological pathway, which may lead to different results of statistical enrichment analysis and ...
Sarah Mubeen +9 more
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Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
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