Results 41 to 50 of about 669,950 (280)

Cognitive Trait Model: Measurement Model for Mastery Level and Progression of Learning

open access: yesMathematics, 2022
This paper seeks to establish a framework which operationalizes cognitive traits as a portion of the predefined mastery level, the highest level expected to successfully perform all of the relevant tasks of the target trait. This perspective allows us to
Jaehwa Choi
doaj   +1 more source

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

open access: yesMolecular Oncology, EarlyView.
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck   +12 more
wiley   +1 more source

Achieving Fair Inference Using Error-Prone Outcomes

open access: yesInternational Journal of Interactive Multimedia and Artificial Intelligence, 2021
Recently, an increasing amount of research has focused on methods to assess and account for fairness criteria when predicting ground truth targets in supervised learning.
Laura Boeschoten   +3 more
doaj   +1 more source

Strength through diversity: how cancers thrive when clones cooperate

open access: yesMolecular Oncology, EarlyView.
Intratumor heterogeneity can offer direct benefits to the tumor through cooperation between different clones. In this review, Kuiken et al. discuss existing evidence for clonal cooperativity to identify overarching principles, and highlight how novel technological developments could address remaining open questions.
Marije C. Kuiken   +3 more
wiley   +1 more source

Latent variable modeling for the microbiome [PDF]

open access: yesBiostatistics, 2018
SummaryThe human microbiome is a complex ecological system, and describing its structure and function under different environmental conditions is important from both basic scientific and medical perspectives. Viewed through a biostatistical lens, many microbiome analysis goals can be formulated as latent variable modeling problems.
Sankaran, Kris, Holmes, Susan P.
openaire   +3 more sources

Effective therapeutic targeting of CTNNB1‐mutant hepatoblastoma with WNTinib

open access: yesMolecular 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

Set Inference in Latent Variables Models [PDF]

open access: yesSSRN Electronic Journal, 2011
Summary  We propose a methodology for constructing valid confidence regions in incomplete models with latent variables satisfying moment equality restrictions. These include moment equality and inequality models with latent variables. The confidence regions are obtained by inverting tests based on the characterization of the identified set derived in ...
Isabel Mourifie, Marc Henry
openaire   +1 more source

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

open access: yesMolecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley   +5 more
wiley   +1 more source

The Effects of Using Partial or Uncorrected Correlation Matrices When Comparing Network and Latent Variable Models

open access: yesJournal of Intelligence, 2020
Network models of the WAIS-IV based on regularized partial correlation matrices have been reported to outperform latent variable models based on uncorrected correlation matrices.
Dennis McFarland
doaj   +1 more source

A Time-Series Model for Varying Worker Ability in Heterogeneous Distributed Computing Systems

open access: yesApplied Sciences, 2023
In this paper, we consider the problem of estimating the time-dependent ability of workers participating in distributed matrix-vector multiplication over heterogeneous clusters.
Daejin Kim, Suji Lee, Hohyun Jung
doaj   +1 more source

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