Results 71 to 80 of about 624,142 (260)
Comparison of Internal Clustering Validation Indices for Prototype-Based Clustering
Algorithms, 2017 Clustering is an unsupervised machine learning and pattern recognition method. In general, in addition to revealing hidden groups of similar observations and clusters, their number needs to be determined.
Joonas Hämäläinen +2 more
doaj +1 more source
KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer
Molecular Oncology, EarlyView.Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan +16 more
wiley +1 more source
Molecular Oncology, EarlyView.Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
Application of Robust Statistics to Asset Allocation Models
Revstat Statistical Journal, 2007 Many strategies for asset allocation involve the computation of the expected value and the covariance matrix of the returns of financial instruments.
Roy E. Welsch , Xinfeng Zhou
doaj +1 more source
Editorial, special issue on "Advances in Robust Statistics". [PDF]
Metron, 2021 Riani M, Hubert M.
europepmc +1 more source
Molecular Oncology, EarlyView.Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen +9 more
wiley +1 more source
robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models
Journal of Statistical Software, 2016 As any real-life data, data modeled by linear mixed-effects models often contain outliers or other contamination. Even little contamination can drive the classic estimates far away from what they would be without the contamination.
Manuel Koller
doaj +1 more source
Detection of differential depressive symptom patterns in a cohort of perinatal women: an exploratory factor analysis using a robust statistics approach. [PDF]
EClinicalMedicine, 2023 Nieser KJ +4 more
europepmc +1 more source
Molecular Oncology, EarlyView.Circulating tumor cells (CTCs) and plasma cell‐free DNA (cfDNA) were analyzed to detect ESR1 mutations and methylation in patients with advanced breast cancer. CTC‐derived DNA showed higher sensitivity for mutation detection and revealed complementary genetic and epigenetic alterations, highlighting the added value of CTC analysis for understanding ...
Dimitra Stergiopoulou +12 more
wiley +1 more source
Hyperspectral imaging and robust statistics in non-melanoma skin cancer analysis. [PDF]
Biomed Opt Express, 2021 Courtenay LA +13 more
europepmc +1 more source