Results 101 to 110 of about 12,415,159 (263)

Mutant p53R273H disrupts PDPK1 homodimerization and contributes to PDPK1 activation

Molecular Oncology, EarlyView.
How mutant p53R273H drives AKT signaling is unclear. We show that p53R273H, but not wild‐type, directly binds PDPK1 via a mutation‐dependent conformational change. This interaction disrupts inhibitory PDPK1 homodimerization and enhances AKT phosphorylation.
Mei Chee Lim, Alvin Kunyao Guo, Yoko Itahana, Srinivasaraghavan Kannan, Valerie Goh, Mingmin Ong, Terina Yan Wen Tay, Weiying Ye, Sabhashina Radha Krishnan, Jun Nishiyama, Chandra S Verma, Koji Itahana   +11 more
wiley   +1 more source

Groupcompare: A holistic approach to two sample data analysis

SoftwareX
The groupcompare R package provides a unified framework for two-sample statistical comparisons. It addresses critical limitations of traditional methods by integrating parametric, non-parametric, permutation, and bootstrap-based techniques within a ...
Zeynel Cebeci, A. Firat Ozdemir, Engin Yildiztepe, Melis Celik Guney   +3 more
doaj   +1 more source

Non-parametric estimation of ROC curve

, 2006
Receiver operating characteristic (ROC) curve is widely applied in measuring discriminatory ability of diagnostic or prognostic tests. This makes ROC analysis one of the most actively research areas in medical statistics.
Gu, Jiezhun, Ghosal, Subhashis, Roy, Anindya   +2 more
core  

Targeting the EpCAM‐AXL axis to overcome drug resistance in lung cancer

Molecular Oncology, EarlyView.
Lung cancer cells often evade therapy by hijacking signaling pathways. We reveal that cleaved EpCAM (sEpCAM) stabilizes the oncogenic protein AXL, driving NF‐κB and STAT3‐mediated chemoresistance. This EpCAM‐AXL axis identifies a high‐risk patient subset with poor prognosis.
Alexa Guerrero‐Alba, Mark Shacker, Timothy P. Fleming, Michael A. Smith, Ross M. Bremner, Narendra V. Sankpal   +5 more
wiley   +1 more source

Permutation Tests to Identify Significant Constraint or Promotion Within Biological Scatterplots

Ecology and Evolution
Scatterplots of biological datasets often have no‐data zones, which suggest constraint or promotion of dependent variables. Although methods exist to estimate boundary lines—that is, to fit lines to the edges of scatters of data points—there are, to our ...
Anthony J. Mills, Ruan vanMazijk
doaj   +1 more source

Non-parametric tests of hypothesis.

, 2018
Non-parametric tests of hypothesis.
Marco Mantovani (5819180), Paolo Crosetto (5819177)   +1 more
core   +1 more source

Characterization of therapeutic antibodies targeting lymphatic and vascular resistance factor for the treatment of hypervascularized and highly metastatic cancers

Molecular Oncology, EarlyView.
LVRF (lymphatic and vascular resistance factor) is a VEGFA splice variant upregulated in response to anti‐angiogenic therapy that fosters tumor adaptation through enhanced vascularization, lymphangiogenesis, and metastatic dissemination. Targeting LVRF with fully human neutralizing antibodies disrupts these processes and limits resistant tumor growth ...
Marion David, Arthur Karaulic, Audrey Bennetot, Clémence Fournier, Quentin Odet, Arthur Gouraud, Isabelle Bourget, Cédric Gaggioli, Sandy Giuliano, Frédéric Luciano, Olivier Léger, Zaki Sellam, Gilles Pagès   +12 more
wiley   +1 more source

Non-parametric entropy tests for spatial dependence

The non-parametric testing of spatial dependence is considered, where the data are generated in a regular two-dimensional grid. Recently, spatial ordinal patterns (SOPs) and corresponding types (which imply a three-part partition of the set of all SOPs ...
Kim, Hee-Young, Weiß, Christian H.
core   +1 more source

Optimization of seminal extracellular vesicle isolation protocols for cancer biomarker analysis using proteomic profiling

Molecular Oncology, EarlyView.
This paper shows that size‐exclusion chromatography and sequential centrifugation applied to seminal plasma enrich for different populations of extracellular vesicles. This may significantly affect the detection and analysis of extracellular vesicle‐associated cancer biomarkers.
Elen Telumyan, Beatriz Martín‐Gracia, Eva Bassols‐Citores, Krizia Sagini, Maria K. Andersen, Tuula A. Nyman, May‐Britt Tessem, Morten B. Rye, Alicia Llorente   +8 more
wiley   +1 more source

Robust Forecasting of Non-Stationary Time Series [PDF]

This paper proposes a robust forecasting method for non-stationary time series. The time series is modelled using non-parametric heteroscedastic regression, and fitted by a localized MM-estimator, combining high robustness and large efficiency.
Mahieu, K., Gijbels, I., Fried, R., Croux, C.   +3 more
core