Results 111 to 120 of about 1,328,097 (351)
Molecular Oncology, EarlyView.Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran +16 more
wiley +1 more source
Range Unit Root (RUR) Tests: Robust against Nonlinearities, Error Distributions, Structural Breaks and Outliers. [PDF]
Since the seminal paper by Dickey and Fuller in 1979, unit-root tests have conditioned the standard approaches to analysing time series with strong serial dependence in mean behaviour, the focus being placed on the detection of eventual unit roots in an ...
Aparicio, Felipe M. +2 more
core
Multi‐omics profiling reveals key factors involved in Ewing sarcoma metastasis
Molecular Oncology, Volume 19, Issue 4, Page 1002-1028, April 2025.Using a mouse model that recapitulates the spread of tumor cells within the body, we have profiled paired tumors and metastasis samples using a multiomics approach combining different layers of biological information. We identified key genes that drive metastasis in Ewing sarcoma.
Mariona Chicón‐Bosch +11 more
wiley +1 more source
Semiparametric stationarity and fractional unit roots tests based on data-driven multidimensional increment ratio statistics [PDF]
Journal of Time Series Econometrics, De Gruyter, 2016, 8 (1), pp.1
-- 25, 2016 In this paper, we show that the central limit theorem (CLT) satisfied by the data-driven Multidimensional Increment Ratio (MIR) estimator of the memory parameter d established in Bardet and Dola (2012) for d $\in$ (--0.5, 0.5) can be extended to a semiparametric class of Gaussian fractionally integrated processes with memory parameter d $\in$ (--0.5, 1.
arxiv
Molecular Oncology, Volume 19, Issue 4, Page 1092-1116, April 2025.FOXL2 c.402C>G mutation drives granulosa cell tumors. Using CRISPR technology, we selectively corrected this mutation, reducing malignancy and increasing sensitivity to dasatinib and ketoconazole. Transcriptomic changes revealed potential therapeutic targets, demonstrating CRISPR's promise for treating this rare ovarian cancer.
Sandra Amarilla‐Quintana +17 more
wiley +1 more source
On the power and interpretation of panel unit root tests [PDF]
, 2000 Sune Karlsson, Mickael Löthgren
openalex +1 more source
Are Shocks to Commodity Prices Persistent? [PDF]
This paper considers the issue of whether shocks to ten commodity prices (gold, silver, platinum, copper, aluminum, iron ore, lead, nickel, tin, and zinc) are persistent or transitory. We use two recently developed unit root tests, namely the Narayan and
Paresh Kumar Narayan, Ruipeng Liu
core
Molecular Oncology, Volume 19, Issue 4, Page 984-993, April 2025.Tumor‐informed whole‐genome sequencing (MRD‐EDGESNV) was applied to detect circulating tumor DNA (ctDNA) in patients with colorectal adenomas. Using a 95% specificity threshold, established from stage III colorectal cancer patients, ctDNA was detected in 50% of symptomatic and 25% of asymptomatic adenoma cases with median tumor fractions of 5.9 × 10−5 ...
Amanda Frydendahl +13 more
wiley +1 more source
Unit-Root Tests Are Useful for Selecting Forecasting Models [PDF]
, 2000 Francis X. Diebold, Lutz Kilian
openalex +1 more source
Testing for Unit Roots with Prediction Errors [PDF]
SSRN Electronic Journal, 1999 This paper analyzes the relationship between the properties of the prediction errors of a predictor that assumes an autoregressive unit root and its optimal detection. According with this relationship, new autoregressive unit root tests are proposed based on multi-step prediction errors. It is shown that the proposed tests have optimal properties.
openaire +4 more sources