Results 101 to 110 of about 1,722,167 (288)

Phenotypic and genotypic characterization of single circulating tumor cells in the follow‐up of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon, Rui P. L. Neves, Nikolas H. Stoecklein, Sven‐Thorsten Liffers, Jens Siveke, Jan D. Kuhlmann, Pauline Wimberger, Paul Buderath, Rainer Kimmig, Sabine Kasimir‐Bauer   +9 more
wiley   +1 more source

Density estimation via binless multidimensional integration

Machine Learning: Science and Technology
We introduce the binless multidimensional thermodynamic integration (BMTI) method for nonparametric, robust, and data-efficient density estimation.
Matteo Carli, Alex Rodriguez, Alessandro Laio, Aldo Glielmo   +3 more
doaj   +1 more source

Local Vehicle Density Estimation on Highways Using Awareness Messages and Broadcast Reliability of Vehicular Communications

Vehicles
This paper presents a novel method for locally estimating vehicle density on highways based on vehicle-to-vehicle (V2V) communication, a communication mode within intelligent transport systems (ITSs), enabled via IEEE 802.11p and 3GPP C-V2X technologies.
Zhijuan Li, Xintong Wu, Zhuofei Wu, Jing Zhao, Xiaomin Ma, Alessandro Bazzi   +5 more
doaj   +1 more source

Multivariate Density Estimation and Visualization [PDF]

This chapter examines the use of flexible methods to approximate an unknown density function, and techniques appropriate for visualization of densities in up to four dimensions. The statistical analysis of data is a multilayered endeavor.
Scott, David W.
core  

Estimation of Probability Density

The Annals of Mathematical Statistics, 1965
Assuming that the distribution being sampled is absolutely continous, Parzen [3] has established the consistency and asymptotic normality of a class of estimators $\{f_n(x)\}$ based on a random sample of size $n$, for estimating the probability density.
openaire   +2 more sources

Lp adaptive density estimation

Bernoulli, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kerkyacharian, Gérard, Picard, Dominique, Tribouley, Karine   +2 more
openaire   +3 more sources

Correlation of the differential expression of PIK3R1 and its spliced variant, p55α, in pan‐cancer

Molecular Oncology, EarlyView.
PIK3R1 undergoes alternative splicing to generate the isoforms, p85α and p55α. By combining large patient datasets with laboratory experiments, we show that PIK3R1 spliced variants shape cancer behavior. While tumors lose the protective p85α isoform, p55α is overexpressed, changes linked to poorer survival and more pronounced in African American ...
Ishita Gupta, Yang Song, Madeleine Ndahayo, Anirudh Saxena, Theresa Guo, Dylan Z. Kelley, Jessica Gore, Andrew Hennigan, Alexa Anderson, John C. Papadimitriou, Daria A. Gaykalova   +10 more
wiley   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

EMSPAN: Efficient Multi-Scale Pyramid Attention Network for Object Counting Under Size Heterogeneity and Dense Scenarios

IEEE Access
Computer vision is becoming an increasingly vital field, offering significant opportunities for real-world applications. Object counting is one of its core aspects, with increasing utilization across scientific fields involving objects of varying sizes ...
Phu Nguyen Phan Hai, Bao Bui Quoc, Trang Hoang   +2 more
doaj   +1 more source

Geometry of Log-Concave Density Estimation

, 2017
Shape-constrained density estimation is an important topic in mathematical statistics. We focus on densities on $\mathbb{R}^d$ that are log-concave, and we study geometric properties of the maximum likelihood estimator (MLE) for weighted samples.
Robeva, Elina, Sturmfels, Bernd, Uhler, Caroline   +2 more
core