Results 131 to 140 of about 9,437,828 (334)

Empowering Data Mesh with Federated Learning [PDF]

arXiv
The evolution of data architecture has seen the rise of data lakes, aiming to solve the bottlenecks of data management and promote intelligent decision-making. However, this centralized architecture is limited by the proliferation of data sources and the growing demand for timely analysis and processing.
arxiv  

Review: Statistical Research Group, Sequential Analysis of Statistical Data: Applications [PDF]

, 1947
John W. Tukey
openalex   +1 more source

The PTTG1/VASP axis promotes oral squamous cell carcinoma metastasis by modulating focal adhesion and actin filaments

Molecular Oncology, EarlyView.
VASP was found to be overexpressed in metastatic oral squamous cell carcinoma (OSCC) tissues. Notably, PTTG1‐ and VASP‐deficient OSCC cells demonstrated suppressed metastatic properties by disrupting the interaction between the cytoskeleton and focal adhesion (FAs) in the filopodia region.
Suyeon Park, Sang Shin Lee, Shihyun Kim, Yeonjun Lee, Gyeonwon Park, Jung Oh Kim, Jongho Choi   +6 more
wiley   +1 more source

NanoCMSer: a consensus molecular subtype stratification tool for fresh‐frozen and paraffin‐embedded colorectal cancer samples

Molecular Oncology, EarlyView.
Consensus molecular subtypes (CMS1‐4) have been identified to study colorectal cancer heterogeneity and serve as potential biomarkers. In this study, we developed and evaluated NanoCMSer, a NanoString‐based classifier using 55 genes, optimized for FF and FFPE to facilitate the clinical evaluation of CMS subtyping.
Arezo Torang, Simone van de Weerd, Veerle Lammers, Sander van Hooff, Inge van den Berg, Saskia van den Bergh, Miriam Koopman, Jan N. IJzermans, Jeanine M. L. Roodhart, Jan Koster, Jan Paul Medema   +10 more
wiley   +1 more source

Discussion: “On Dimensional Analysis and the Presentation of Data in Fluid-Flow Problems” (Van Driest, E. R., 1946, ASME J. Appl. Mech., 13, pp. A34–A40) [PDF]

, 1947
V.J. Skoglund
openalex   +1 more source

Obesity alters the fitness of peritumoral adipose tissue, exacerbating tumor invasiveness in renal cancer through the induction of ADAM12 and CYP1B1

Molecular Oncology, EarlyView.
Tumor microenvironment drives cancer formation and progression. We analyzed the role of human cancer‐associated adipocytes from patients with renal cell carcinoma (RCC) stratified as lean, overweight, or obese. RNA‐seq demonstrated that, among the most altered genes involved in the tumor–stroma crosstalk, are ADAM12 and CYP1B1, which were proven to be ...
Sepehr Torabinejad, Caterina Miro, Annarita Nappi, Francesco Del Giudice, Annunziata Gaetana Cicatiello, Serena Sagliocchi, Lucia Acampora, Federica Restolfer, Melania Murolo, Emery Di Cicco, Federico Capone, Ciro Imbimbo, Monica Dentice, Felice Crocetto   +13 more
wiley   +1 more source

Substrate-Assisted Laser-Induced Breakdown Spectroscopy Combined with Variable Selection and Extreme Learning Machine for Quantitative Determination of Fenthion in Soybean Oil

Photonics
The quality and safety of edible vegetable oils are closely related to human life and health, meaning it is of great significance to explore the rapid detection methods of pesticide residues in edible vegetable oils. This study explored the applicability
Yu Ding, Yufeng Wang, Jing Chen, Wenjie Chen, Ao Hu, Yan Shu, Meiling Zhao   +6 more
doaj   +1 more source

Uncovering Data Across Continua: An Introduction to Functional Data Analysis [PDF]

arXiv
In a world increasingly awash with data, the need to extract meaningful insights from data has never been more crucial. Functional Data Analysis (FDA) goes beyond traditional data points, treating data as dynamic, continuous functions, capturing ever-changing phenomena nuances. This article introduces FDA, merging statistics with real-world complexity,
arxiv  

A STATISTICAL ANALYSIS OF SOLAR RADIATION DATA

, 1925
H. W. CLOUGE
openalex   +1 more source

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

Molecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran, Clarence Yapp, Gregory J. Baker, Johanna Beyer, Young Hwan Chang, Allison L. Creason, Robert Krueger, Jeremy Muhlich, Nathan Heath Patterson, Kevin Sidak, Damir Sudar, Adam J. Taylor, Luke Ternes, Jakob Troidl, Xie Yubin, Artem Sokolov, Darren R. Tyson   +16 more
wiley   +1 more source