Results 81 to 90 of about 4,193,923 (352)

The SingHealth Perioperative and Anesthesia Subject Area Registry (PASAR), a large-scale perioperative data mart and registry [PDF]

Korean Journal of Anesthesiology
Background To enhance perioperative outcomes, a perioperative registry that integrates high-quality real-world data throughout the perioperative period is essential.
Hairil Rizal Abdullah, Daniel Yan Zheng Lim, Yuhe Ke, Nur Nasyitah Mohamed Salim, Xiang Lan, Yizhi Dong, Mengling Feng   +6 more
doaj   +1 more source

Uncovering a generalised gamma distribution: from shape to interpretation [PDF]

arXiv, 2023
In this paper, we introduce the flexible interpretable gamma (FIG) distribution which has been derived by Weibullisation of the body-tail generalised normal distribution. The parameters of the FIG have been verified graphically and mathematically as having interpretable roles in controlling the left-tail, body, and right-tail shape.
arxiv  

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

Data challenges of biomedical researchers in the age of omics [PDF]

PeerJ, 2018
Background High-throughput technologies are rapidly generating large amounts of diverse omics data. Although this offers a great opportunity, it also poses great challenges as data analysis becomes more complex.
Rolando Garcia-Milian, Denise Hersey, Milica Vukmirovic, Fanny Duprilot   +3 more
doaj   +2 more sources

Statistical Workflow for Feature Selection in Human Metabolomics Data

Metabolites, 2019
High-throughput metabolomics investigations, when conducted in large human cohorts, represent a potentially powerful tool for elucidating the biochemical diversity underlying human health and disease.
Joseph Antonelli, Brian L Claggett, M. Henglin, Andy Kim, Gavin Ovsak, Nicole Kim, Katherine Deng, K. Rao, Octavia Tyagi, J. Watrous, K. A. Lagerborg, Pavel Hushcha, Olga V. Demler, S. Mora, T. Niiranen, Alexandre C. Pereira, Mohit M. Jain, Susan Cheng   +17 more
semanticscholar   +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

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

Interpretable Models for Understanding Immersive Simulations [PDF]

arXiv, 2019
This paper describes methods for comparative evaluation of the interpretability of models of high dimensional time series data inferred by unsupervised machine learning algorithms. The time series data used in this investigation were logs from an immersive simulation like those commonly used in education and healthcare training.
arxiv  

Impact of molecular diagnostics and targeted cancer therapy on patient outcomes (MODIFY): a retrospective study of the implementation of precision oncology

Molecular Oncology, EarlyView.
The authors conducted a retrospective study of 94 patients with advanced cancer who underwent next‐generation sequencing (NGS) gene panel analysis and received targeted treatments when applicable. Results further support evidence indicating that molecular profiling provides clinical benefit.
Michaël Dang, Anna Schritz, Nikolai Goncharenko, Guy Berchem   +3 more
wiley   +1 more source

A novel statistical analysis and interpretation of flow cytometry data

Journal of Biological Dynamics, 2013
A recently developed class of models incorporating the cyton model of population generation structure into a conservation-based model of intracellular label dynamics is reviewed. Statistical aspects of the data collection process are quantified and incorporated into a parameter estimation scheme. This scheme is then applied to experimental data for PHA-
Banks, H. Thomas, Kapraun, Dustin F., Thompson, W. Clayton, Peligero Cruz, Cristina, 1986-, Argilaguet Marqués, Jordi, 1977-, Meyerhans, Andreas   +5 more
openaire   +4 more sources