Results 61 to 70 of about 69,082 (292)

Aggressive prostate cancer is associated with pericyte dysfunction

open access: yesMolecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero   +11 more
wiley   +1 more source

Globally Optimal Energy-Efficient Power Control and Receiver Design in Wireless Networks

open access: yes, 2017
The characterization of the global maximum of energy efficiency (EE) problems in wireless networks is a challenging problem due to the non-convex nature of investigated problems in interference channels.
Björnson, Emil   +3 more
core   +4 more sources

Cytoplasmic p21 promotes stemness of colon cancer cells via activation of the NFκB pathway

open access: yesMolecular Oncology, EarlyView.
Cytoplasmic p21 promotes colorectal cancer stem cell (CSC) features by destabilizing the NFκB–IκB complex, activating NFκB signaling, and upregulating BCL‐xL and COX2. In contrast to nuclear p21, cytoplasmic p21 enhances spheroid formation and stemness transcription factor CD133.
Arnatchai Maiuthed   +10 more
wiley   +1 more source

استخدام خوارزمية طريقة تطوير مو لد قطع المستوي لإيجاد الحل العددي لمسائل البرمجة الكسرية [PDF]

open access: yesEngineering and Technology Journal, 2008
There are many methods for solving Fractional Programming problems thatgetting the optimal solution of the problem where the values of variables arefractional numbers not integer numbers, But when there are conditions in theproblem that requires the ...
doaj   +1 more source

On algorithmic equivalence in linear fractional programming [PDF]

open access: yesMathematics of Computation, 1981
This paper compares the effectiveness of three published algorithms for solving the linear fractional programming problem.
openaire   +1 more source

Dual targeting of RET and SRC synergizes in RET fusion‐positive cancer cells

open access: yesMolecular Oncology, EarlyView.
Despite the strong activity of selective RET tyrosine kinase inhibitors (TKIs), resistance of RET fusion‐positive (RET+) lung cancer and thyroid cancer frequently occurs and is mainly driven by RET‐independent bypass mechanisms. Son et al. show that SRC TKIs significantly inhibit PAK and AKT survival signaling and enhance the efficacy of RET TKIs in ...
Juhyeon Son   +13 more
wiley   +1 more source

Detection of circulating tumor DNA in colorectal cancer patients using a methylation‐specific droplet digital PCR multiplex

open access: yesMolecular Oncology, EarlyView.
We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto   +8 more
wiley   +1 more source

Neutrosophic Linear Fractional Programming Problems

open access: yes, 2018
In this chapter, a solution procedure is proposed to solveneutrosophic linear fractional programming (NLFP) problem where cost of the objective function, the resources and the technological coefficients are triangular neutrosophic numbers.
Abdel-Nasser Hussian   +4 more
openaire   +1 more source

LINC01116, a hypoxia‐lncRNA marker of pathological lymphangiogenesis and poor prognosis in lung adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
The LINC01116 long noncoding RNA is induced by hypoxia and associated with poor prognosis and high recurrence rates in two cohorts of lung adenocarcinoma patients. Here, we demonstrate that besides its expression in cancer cells, LINC01116 is markedly expressed in lymphatic endothelial cells of the tumor stroma in which it participates in hypoxia ...
Marine Gautier‐Isola   +12 more
wiley   +1 more source

Logic Integer Programming Models for Signaling Networks

open access: yes, 2008
We propose a static and a dynamic approach to model biological signaling networks, and show how each can be used to answer relevant biological questions. For this we use the two different mathematical tools of Propositional Logic and Integer Programming.
Haus U.-U.   +5 more
core   +3 more sources

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