Results 81 to 90 of about 1,793,545 (266)
Generalized bi-additive modelling for categorical data [PDF]
Generalized linear modelling (GLM) is a versatile technique, which may be viewed as a generalization of well-known techniques such as least squares regression, analysis of variance, loglinear modelling, and logistic regression.
Groenen, P.J.F., Koning, A.J.
core +1 more source
Molecular Oncology, EarlyView.Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
Assessing Measurement Equivalence in Ordered-Categorical Data
Psicológica, 2012 La invarianza factorial estudia de la equivalencia métrica en el marco del modelo lineal del factor común por medio de la comparación de los parámetros del modelo de medida en los grupos de interés.
Paula Elosua
doaj
Understanding and Enhancement of Internal Clustering Validation Indexes for Categorical Data
Algorithms, 2018 Clustering is one of the main tasks of machine learning. Internal clustering validation indexes (CVIs) are used to measure the quality of several clustered partitions to determine the local optimal clustering results in an unsupervised manner, and can ...
Xuedong Gao, Minghan Yang
doaj +1 more source
Next‐generation proteomics improves lung cancer risk prediction
Molecular Oncology, EarlyView.This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
Effective therapeutic targeting of CTNNB1‐mutant hepatoblastoma with WNTinib
Molecular Oncology, EarlyView.WNTinib, a Wnt/CTNNB1 inhibitor, was tested in hepatoblastoma (HB) experimental models. It delayed tumor growth and improved survival in CTNNB1‐mutant in vivo models. In organoids, WNTinib outperformed cisplatin and showed enhanced efficacy in combination therapy, supporting its potential as a targeted treatment for CTNNB1‐mutated HB.
Ugne Balaseviciute +17 more
wiley +1 more source
Clustering categorical data streams
Journal of Computational Methods in Sciences and Engineering, 2011 In this paper, we propose an efficient clustering algorithm for analyzing categorical data streams. It has been proved that the proposed algorithm uses small memory footprints. We provide empirical analysis on the performance of the algorithm in clustering both synthetic and real data streams.
He, Zengyou +3 more
openaire +2 more sources
Speaking Stata: Graphing categorical and compositional data [PDF]
A variety of graphs have been devised for categorical and compositional data, ranging from widely familiar to more unusual displays. Both official Stata commands and user-written programs are available.
Nicholas J. Cox
core +1 more source
Molecular Oncology, EarlyView.Monitoring circulating tumor DNA (ctDNA) in patients with operable breast cancer can reveal disease relapse earlier than radiology in a subset of patients. The failure to detect ctDNA in some patients with recurrent disease suggests that ctDNA could serve as a supplement to other monitoring approaches.
Kristin Løge Aanestad +35 more
wiley +1 more source
Assessing Measurement Equivalence in Ordered-Categorical Data
Psicológica, 2011 La invarianza factorial estudia de la equivalencia métrica en el marco del modelo lineal del factor común por medio de la comparación de los parámetros del modelo de medida en los grupos de interés.
Paula Elosua
doaj