Results 61 to 70 of about 1,170,821 (329)

Respiratory complex I‐mediated NAD+ regeneration regulates cancer cell proliferation through the transcriptional and translational control of p21Cip1 expression by SIRT3 and SIRT7

Molecular Oncology, EarlyView.
NAD+ regeneration by mitochondrial complex I NADH dehydrogenase is important for cancer cell proliferation. Specifically, NAD+ is necessary for the activities of NAD+‐dependent deacetylases SIRT3 and SIRT7, which suppress the expression of p21Cip1 cyclin‐dependent kinase inhibitor, an antiproliferative molecule, at the translational and transcriptional
Masato Higurashi, Kazunori Mori, Hidetsugu Nakagawa, Momoko Uchida, Fumihiro Ishikawa, Motoko Shibanuma   +5 more
wiley   +1 more source

Analysis of comprehensive genomic profiling of solid tumors with a novel assay for broad analysis in clinical diagnostics

Molecular Oncology, EarlyView.
In molecular cancer diagnostics, comprehensive genomic profiling (CGP) is going to replace the small NGS panels since it provides all clinically relevant somatic variants as well as genomic biomarkers with clinical value. Here, we compared two CGP assays and demonstrate that the choice for diagnostic implementation will depend on the specific ...
Guy Froyen, Pieter‐Jan Volders, Ellen Geerdens, Severine Berden, Joni Van der Meulen, Aaron De Cock, Stefanie Vermeire, Jacques Van Huysse, Marie de Barsy, Gabriela Beniuga, Wendy W. J. de Leng, Anne M. L. Jansen, Imke Demers, Zeliha Ozgur, Hendrikus Jan Dubbink, Ernst‐Jan M. Speel, Wilfred F. J. van IJcken, Brigitte Maes   +17 more
wiley   +1 more source

CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning [PDF]

arXiv, 2022
Program synthesis or code generation aims to generate a program that satisfies a problem specification. Recent approaches using large-scale pretrained language models (LMs) have shown promising results, yet they have some critical limitations. In particular, they often follow a standard supervised fine-tuning procedure to train a code generation model ...
arxiv  

Adverse prognosis gene expression patterns in metastatic castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
We aggregated a cohort of 1012 mCRPC tissue samples from 769 patients and investigated the association of gene expression‐based pathways with clinical outcomes. Loss of AR signaling, high proliferation, and a glycolytic phenotype were independently prognostic for poor outcomes, and an adverse transcriptional feature score incorporating these pathways ...
Marina N. Sharifi, Eric Feng, Nicholas R. Rydzewski, Amy K. Taylor, Jamie M. Sperger, Yue Shi, Kyle T. Helzer, Matthew L. Bootsma, Viridiana Carreno, Alex H. Chang, Luke A. Nunamaker, Grace C. Blitzer, Tianfu Andy Shang, Aishwarya Subramanian, Anders Bjartell, Andreas Josefsson, Pernilla Wikström, Emily Feng, Manish Kohli, Rendong Yang, Scott M. Dehm, Eric J. Small, Rahul Aggarwal, David A. Quigley, Joshua M. Lang, Shuang G. Zhao, Martin Sjöström   +26 more
wiley   +1 more source

Approximate Normalization for Gradual Dependent Types [PDF]

Proc. ACM Program. Lang. 3, ICFP, Article 88 (July 2019), 30 pages, 2019
Dependent types help programmers write highly reliable code. However, this reliability comes at a cost: it can be challenging to write new prototypes in (or migrate old code to) dependently-typed programming languages. Gradual typing makes static type disciplines more flexible, so an appropriate notion of gradual dependent types could fruitfully lower ...
arxiv   +1 more source

Programming real-time applications with SIGNAL

Proceedings of the IEEE, 1991
The authors present the main features of the SIGNAL language and its compiler. Designed to provide safe real time system programming, the SIGNAL language is based on synchronous principles.
P. Guernic, T. Gautier, M. L. Borgne, C. Maire   +3 more
semanticscholar   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Optimal Neural Program Synthesis from Multimodal Specifications [PDF]

arXiv, 2020
Multimodal program synthesis, which leverages different types of user input to synthesize a desired program, is an attractive way to scale program synthesis to challenging settings; however, it requires integrating noisy signals from the user, like natural language, with hard constraints on the program's behavior.
arxiv  

Design of Digital Filter for Voice Noise Based on LabVIEW

Gong-kuang zidonghua, 2011
In view of problems of complex code program and poor portability in programming method of traditional digital filter, the paper proposed a design scheme of digital filter for voice noise based on LabVIEW.
WANG Kai, LV Ying-jun, QI Xue-guang
doaj  

ABOUT THE ACCURACY OF ESTIMATED FREQUENCIES WITH THE PyFEST SOFTWARE [PDF]

Analele Universităţii "Constantin Brâncuşi" din Târgu Jiu: Seria Inginerie, 2019
This paper presents a method to estimate frequencies with high accuracy that is based on an iterative method. The method consists in applying rectangular windows with different lengths to the acquired or generated signal in order to control the resulted ...
Gilbert-Rainer Gillich, Dorian Nedelcu, Vasile Iancu, Nicoleta Gillich   +3 more
doaj