Results 71 to 80 of about 1,268,383 (321)

Gut microbiota diversity is prognostic in metastatic hormone receptor‐positive breast cancer patients receiving chemotherapy and immunotherapy

open access: yesMolecular Oncology, EarlyView.
In this exploratory study, we investigated the relationship between the gut microbiota and outcome in patients with metastatic hormone receptor‐positive breast cancer, treated in a randomized clinical trial with chemotherapy alone or chemotherapy in combination with immune checkpoint blockade.
Andreas Ullern   +7 more
wiley   +1 more source

Learning the Structure of Hub Network Based on Graph Model

open access: yesXibei Gongye Daxue Xuebao, 2019
In this paper, we focus on the structure learning problem of the hub network. In the neighborhood selection framework, we use the L1 and L2 regularizers to incorporate the sparse and group prior of the hub network, so as to make the network easier to ...

doaj   +1 more source

Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids

open access: yesMolecular Oncology, EarlyView.
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici   +8 more
wiley   +1 more source

In vitro properties of patient serum predict clinical outcome after high dose rate brachytherapy of hepatocellular carcinoma

open access: yesMolecular Oncology, EarlyView.
Following high dose rate brachytherapy (HDR‐BT) for hepatocellular carcinoma (HCC), patients were classified as responders and nonresponders. Post‐therapy serum induced increased BrdU incorporation and Cyclin E expression of Huh7 and HepG2 cells in nonresponders, but decreased levels in responders.
Lukas Salvermoser   +14 more
wiley   +1 more source

Sum–product graphical models [PDF]

open access: yesMachine Learning, 2019
This paper introduces a new probabilistic architecture called Sum-Product Graphical Model (SPGM). SPGMs combine traits from Sum-Product Networks (SPNs) and Graphical Models (GMs): Like SPNs, SPGMs always enable tractable inference using a class of models that incorporate context specific independence.
Mattia Desana, Christoph Schnörr
openaire   +2 more sources

Inhibition of CDK9 enhances AML cell death induced by combined venetoclax and azacitidine

open access: yesMolecular Oncology, EarlyView.
The CDK9 inhibitor AZD4573 downregulates c‐MYC and MCL‐1 to induce death of cytarabine (AraC)‐resistant AML cells. This enhances VEN + AZA‐induced cell death significantly more than any combination of two of the three drugs in AraC‐resistant AML cells.
Shuangshuang Wu   +18 more
wiley   +1 more source

A Novel Approach to Deducing of the Data- PAPR Relation for OFDM System

open access: yesJournal of Engineering and Sustainable Development, 2012
Orthogonal Frequency Division Multiplexing (OFDM) is a very attractive technique for high-data-rate transmission in wireless and wired applications. The main drawback of the OFDM technique is its high peak to average power ratio (PAPR).
Dhafer R. Zaghar, Tahreer Sh. Mahmoud
doaj  

EPSOM-Hyb: A General Purpose Estimator of Log-Marginal Likelihoods with Applications in Probabilistic Graphical Models

open access: yesAlgorithms
We consider the estimation of the marginal likelihood in Bayesian statistics, with primary emphasis on Gaussian graphical models, where the intractability of the marginal likelihood in high dimensions is a frequently researched problem.
Eric Chuu   +3 more
doaj   +1 more source

A synthetic benzoxazine dimer derivative targets c‐Myc to inhibit colorectal cancer progression

open access: yesMolecular Oncology, EarlyView.
Benzoxazine dimer derivatives bind to the bHLH‐LZ region of c‐Myc, disrupting c‐Myc/MAX complexes, which are evaluated from SAR analysis. This increases ubiquitination and reduces cellular c‐Myc. Impairing DNA repair mechanisms is shown through proteomic analysis.
Nicharat Sriratanasak   +8 more
wiley   +1 more source

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