Results 51 to 60 of about 29,512 (260)

Forecasting mortality rates: Mexico 2001–2010

Communications in Statistics: Case Studies, Data Analysis and Applications, 2015
In this article, we propose to combine the Lee-Carter model with recently proposed interpolation orgraduation procedures for obtaining predictions of Mexican mortality rates in the period 2001-2010.Additionally, we obtain estimates of the mortality rates for the years within each decade in Mexicoduring the period from 1940 to 2000.
Alonso Fernández, Andrés Modesto, Pérez, Romualda H., Silva Urrutia, Jose Eliud   +2 more
openaire   +2 more sources

The newfound relationship between extrachromosomal DNAs and excised signal circles

FEBS Letters, EarlyView.
Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley   +1 more source

Credible Regression Approaches to Forecast Mortality for Populations with Limited Data

Risks, 2019
In this paper, we propose a credible regression approach with random coefficients to model and forecast the mortality dynamics of a given population with limited data.
Apostolos Bozikas, Georgios Pitselis
doaj   +1 more source

PICALM::MLLT10 translocated leukemia

FEBS Letters, EarlyView.
This comprehensive review of PICALM::MLLT10 translocated acute leukemia provides an in‐depth review of the structure and function of CALM, AF10, and the fusion oncoprotein (1). The multifaceted molecular mechanisms of oncogenesis, including nucleocytoplasmic shuttling (2), epigenetic modifications (3), and disruption of endocytosis (4), are then ...
John M. Cullen, Antonia C. Nakatsugawa, Natalie Barton, Henry Haines, Gary S. Stein, Janet L. Stein, Daniel S. Wechsler, Jessica L. Heath   +7 more
wiley   +1 more source

A NEURAL-NETWORK ANALYZER FOR MORTALITY FORECAST [PDF]

ASTIN Bulletin, 2018
AbstractThis article proposes a neural-network approach to predict and simulate human mortality rates. This semi-parametric model is capable to detect and duplicate non-linearities observed in the evolution of log-forces of mortality. The method proceeds in two steps.
openaire   +3 more sources

In vitro models of cancer‐associated fibroblast heterogeneity uncover subtype‐specific effects of CRISPR perturbations

Molecular Oncology, EarlyView.
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra, Shamsudheen Karuthedath Vellarikkal, Lixia Li, Hong Sun, Khoa Nguyen, Amber Montano, Suchitra Natarajan, Federica Piccioni, Alex Michael Tamburino, Xin Yu, Aleksandra Katarzyna Olow   +10 more
wiley   +1 more source

Detection of circulating tumor DNA in colorectal cancer patients using a methylation‐specific droplet digital PCR multiplex

Molecular Oncology, EarlyView.
We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto, Louise Raunkilde, Jan Lindebjerg, Mads Malik Aagaard, Christina Therkildsen, Jakob Kleif, Lars Henrik Jensen, Torben Frøstrup Hansen, Rikke Fredslund Andersen   +8 more
wiley   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

Model confidence sets and forecast combination: an application to age-specific mortality

Genus, 2018
Background Model averaging combines forecasts obtained from a range of models, and it often produces more accurate forecasts than a forecast from a single model.
Han Lin Shang, Steven Haberman
doaj   +1 more source

Five-Year Forecasting Deaths Caused by Traffic Accidents in Fars Province of Iran [PDF]

Bulletin of Emergency and Trauma, 2019
Objective: The aim of study was to conduct a time-based analysis to utilize the obtained knowledge for forecasting the trend of accidents in the future.
Mahnaz Yadollahi, Saeid Gholamzadeh
doaj   +1 more source