Results 51 to 60 of about 1,934,581 (253)

Structural Modelling with Sparse Kernels [PDF]

open access: yes, 2002
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret.
Kandola, J.S., Gunn, S.R.
core  

ANOVA Results. [PDF]

open access: yes, 2016
ANOVA Results.
Marilyn E. Brandt (380258)   +4 more
core   +1 more source

Finding novel vulnerabilities of hypomorphic BRCA1 alleles

open access: yesMolecular Oncology, EarlyView.
Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder   +10 more
wiley   +1 more source

2- ANOVA factores Ortogonales [PDF]

open access: yes, 2021
Material de enseñanza para el aprendizaje del análisis con ANOVA con múltiples factores ortogonales. Factores fijos o aleatorios. Como funciona ANOVA. Qué estrategia seguir para el análisis.
Zubcoff, Jose
core  

MITF maintains genome stability in nonmelanocyte lineages

open access: yesMolecular Oncology, EarlyView.
MITF is essential for melanocyte survival and acts as an oncogene in 10%–20% of melanomas. We show that MITF depletion causes genome instability in nonmelanocytic cells, leading to LATS2‐mediated P53 activation, cell cycle arrest, and apoptosis. This study highlights the role of MITF as a genome maintenance factor beyond the melanocyte lineage. Created
Drifa H. Gudmundsdottir   +13 more
wiley   +1 more source

ANOVA-simultaneous component analysis (ASCA) of U. prolifera during fragmentation-induced proliferation. [PDF]

open access: yes, 2019
(a-c) Major pattern associated with time, treatment and their interaction; (d-f) ASCA selection of important variables (metabolites) associated with time, treatment and their interaction by leverage/SPE analysis.
Yanli He (2122885)   +5 more
core   +1 more source

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

open access: yesMolecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka   +9 more
wiley   +1 more source

ANOVA table. [PDF]

open access: yes, 2019
ANOVA table.
Débora Zurro (719094)   +5 more
core   +1 more source

Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization

open access: yesMolecular Oncology, EarlyView.
In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu   +13 more
wiley   +1 more source

Rational ANOVA Networks

open access: yesCoRR
Deep neural networks typically treat nonlinearities as fixed primitives (e.g., ReLU), limiting both interpretability and the granularity of control over the induced function class. While recent additive models (like KANs) attempt to address this using splines, they often suffer from computational inefficiency and boundary instability.
Jusheng Zhang   +4 more
openaire   +2 more sources

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