Results 141 to 150 of about 2,998,558 (396)

Topics in computational statistics

open access: yes, 2022
Research in computational statistics develops numerically efficient methods to estimate statistical models, with Monte Carlo algorithms a subset of such methods. This thesis develops novel Monte Carlo methods to solve three important problems in Bayesian statistics.
openaire   +2 more sources

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

open access: yesMolecular Oncology, Volume 19, Issue 5, Page 1332-1346, May 2025.
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   +10 more
wiley   +1 more source

A framework for streamlined statistical prediction using topic models [PDF]

open access: yesarXiv, 2019
In the Humanities and Social Sciences, there is increasing interest in approaches to information extraction, prediction, intelligent linkage, and dimension reduction applicable to large text corpora. With approaches in these fields being grounded in traditional statistical techniques, the need arises for frameworks whereby advanced NLP techniques such ...
arxiv  

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

open access: yesMolecular 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   +13 more
wiley   +1 more source

Methodological approaches to the formation of indicators of state programs of the Russian Federation

open access: yesПутеводитель предпринимателя
The purpose of the article is to develop analytical approaches and recommendations for adjusting the current system of strategic planning documents indicators developed at the federal level, including in various sectors of statistics, as well as ...
S. V. Brovchak, M. E. Skopintseva
doaj   +1 more source

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

open access: yesMolecular 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   +16 more
wiley   +1 more source

Using Financial Investment Measures to Proactively Engage Students in the Introductory Business Statistics Course

open access: yesJournal of Statistics Education, 2018
Typically, the core-required undergraduate business statistics course covers a broad spectrum of topics with applications pertaining to all functional areas of business.
Mark L. Berenson   +3 more
doaj   +1 more source

Analysis of an experience of statistics topics with hypermedia technology for teachers’ training

open access: yesAula, 2009
It is presented an experience in which is used hypermedia as a tool for education of teachers. More exactly, university students to be school teachers, with university computer science students, design and implement statistics topics with medium ...
José María CHAMOSO SÁNCHEZ   +2 more
doaj   +1 more source

Do household definitions matter in survey design? [PDF]

open access: yes
Household definitions used in multi-topic household surveys vary between surveys but have potentially significant implications for household composition, production, and poverty statistics.
Beaman, Lori, Dillon, Andrew
core  

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