Results 131 to 140 of about 6,020,045 (311)

Mutant p53R273H disrupts PDPK1 homodimerization and contributes to PDPK1 activation

open access: yesMolecular 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   +11 more
wiley   +1 more source

Utility of the New York heart association functional classification compared to other measures: A systematic review

open access: yesHealth Sciences Review
This systematic review comprised of an assessment of the relevant literature for measures that were most similar to the New York Heart Association Functional Classification.
Kelly D. Stamp   +3 more
doaj   +1 more source

Classification with Sums of Separable Functions [PDF]

open access: yes, 2010
We present a novel approach for classification using a discretised function representation which is independent of the data locations. We construct the classifier as a sum of separable functions, extending the paradigm of separated representations. Such a representation can also be viewed as a low rank tensor product approximation. The central learning
openaire   +1 more source

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

open access: yesMolecular 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   +5 more
wiley   +1 more source

Functional classification of unique S. chinensis ESTs according to the MIPS Functional Catalogue scheme.

open access: yes, 2013
Functional classification of unique S. chinensis ESTs according to the MIPS Functional Catalogue scheme.
Michael Möller (128920)   +7 more
core   +1 more source

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

open access: yesMolecular 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   +12 more
wiley   +1 more source

Curve Data Classification via Functional Regression Analysis

open access: yes, 2012
計畫編號:NSC100-2118-M032-006研究期間:20110801~20120731研究經費:315,000本計畫將討論曲線資料(curve data)的分類(classification)問題,尤其是當存 在有與分類相關的解釋變數(covariates)時,探討如何將這些解釋變數有用之訊 息有效加入函數型分類方法中。我們將曲線資料視為隨機過程的實際觀測值, 並假設在多個已知分類下,各類隨機函數的平均函數與共變異函數均可能相 異。在給定相關解釋變數的訊息下,我們將利用條件函數型主成份分析 ...
李百靈
core  

Reprogramming tumor cells with LCOR mRNA nanotherapy to enhance immunotherapy

open access: yesMolecular Oncology, EarlyView.
LCOR (Ligand‐dependent corepressor) mRNA encapsulated in polymeric nanoparticles restores LCOR activity in tumor cells, constraining aggressive tumor cell states and increasing tumor immunogenicity. This reprogramming makes tumor cells more vulnerable to T‐cell attack and enhances their response to immune‐checkpoint immunotherapy.
Gabriel Serra‐Mir   +9 more
wiley   +1 more source

Functional group classification using consensus clustering.

open access: yesPLoS Computational Biology
Functional diversity is a fundamental aspect of community structure and composition, reflecting diversity and redundancy in ecological niches, functional roles, and environmental responses among species within a community.
Pablo Ubilla Pavez   +2 more
doaj   +1 more source

Bias-Adjusted Augmented Functional Random Forests for Interpretable Classification of Functional Trajectories

open access: yesEpidemiology, Biostatistics and Public Health
Introduction Functional data analysis treats time-indexed observations as curves rather than isolated measurements, allowing classification models to exploit signal level, local velocity and curvature [1].
Annamaria Porreca   +2 more
doaj   +1 more source

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