Results 41 to 50 of about 110,162 (294)

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

Improving mortality forecasting using a hybrid of Lee–Carter and stacking ensemble model

Bulletin of the National Research Centre, 2023
Background Mortality forecasting is a critical component in various fields, including public health, insurance, and pension planning, where accurate predictions are essential for informed decision-making.
Samuel Asante Gyamerah, Aaron Akyea Mensah, Clement Asare, Nelson Dzupire   +3 more
doaj   +1 more source

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

Coherent Mortality Forecasting for Less Developed Countries

Risks, 2021
This paper proposes a coherent multi-population approach to mortality forecasting for less developed countries. The majority of these countries have witnessed faster mortality declines among the young and the working age populations during the past few ...
Hong Li, Yang Lu, Pintao Lyu
doaj   +1 more source

Bayesian mortality forecasting with overdispersion [PDF]

Insurance: Mathematics and Economics, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wong, Jackie S.T., Forster, Jonathan J., Smith, Peter W.F.   +2 more
openaire   +4 more sources

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

Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions

Demographic Research, 2006
We compare the short- to medium-term accuracy of five variants or extensions of the Lee-Carter method for mortality forecasting. These include the original Lee-Carter, the Lee-Miller and Booth-Maindonald-Smith variants, and the more flexible Hyndman ...
Leonie Tickle, Rob J. Hyndman, Piet de Jong, Heather Booth   +3 more
doaj  

Dynamic forecasting model for short series age-specific mortality / Wan Zakiyatussariroh Wan Husin [PDF]

, 2017
This thesis presents results of a research in developing a model to forecast mortality using a combination of existing demographic and time series models, specifically proposing a common factor model for forecasting Malaysia mortality using the ...
Wan Husin, Wan Zakiyatussariroh
core  

A unified approach to mortality modelling using state-space framework: characterisation, identification, estimation and forecasting

, 2016
This paper explores and develops alternative statistical representations and estimation approaches for dynamic mortality models. The framework we adopt is to reinterpret popular mortality models such as the Lee-Carter class of models in a general state ...
Fung, Man Chung, Peters, Gareth W., Shevchenko, Pavel V.   +2 more
core   +1 more source

Results from the centers for disease control and prevention's predict the 2013-2014 Influenza Season Challenge [PDF]

, 2016
Background: Early insights into the timing of the start, peak, and intensity of the influenza season could be useful in planning influenza prevention and control activities.
Allen, Christopher, Alper, David, Aman, Susan, Anil Kumar, V. S., Aslam, Anoshã, Bakach, Iurii, Barrett, Chris, BASAGNI, Stefano, Biggerstaff, Matthew, Bisset, Keith, Broniatowski, David, Brooks, Logan, Brownstein, John S., Butler, Patrick, Chakraborty, Prithwish, Chandra, Priyadarshini, Chen, Jiangzhuo, Del Valle, Sara Y., Deshpande, Alina, Dredze, Mark, Eggo, Rosalind, Eubank, Stephen, Fairchild, Geoffrey, Farrow, David, Finelli, Lyn, Fox, Spencer, Fung, Isaac Chun Hai, Gambhir, Manoj, Generous, Nicholas, GESUALDO, Francesco, Goldstein, Ed, Hao, Yi, Henderson, Jette, Hickman, Kyle S., Hickmann, Kyle S., Hyman, James M., Hyun, Sangwon, Karspeck, Alicia, Kaup, Hemchandra, Khadivi, Pejman, Krishnan, Ramesh, Laskowski, Kathy, Lewis, Bryan, Lipsitch, Marc, Lum, Kristian, Madhavan, Satish, Marathe, Madhav, Markar, Ashirwad, Mekaru, Sumiko R., Meyers, Lauren Ancel, Nagel, Anna, Nsoesie, Elaine O., Pashley, Bryanne, Paul, Michael, PERRA, NICOLA, Priedhorsky, Reid, Ramakrishnan, Anurekha, Ramakrishnan, Naren, Rosenfeld, Roni, Scarpino, Sam, Schaible, Braydon J., Scott, James, Sexton, Jessica K., Shaman, Jeffrey, Singh, Bismark, Srinivasan, Ravi, STILO, GIOVANNI, Tibshirani, Ryan J., Tozzi, Alberto E., Tse, Zion Tsz Ho, Tsou, Ming Hsiang, VELARDI, Paola, Vespignani, Alessandro, Yang, Wan, Ying, Yuchen, Zhang, Qian   +75 more
core   +1 more source