Cost of Sticky Prices under Multiple Stages of Production

2021 ◽  
Author(s):  
TOYOICHIRO SHIROTA
Keyword(s):  
Sticky Prices ◽  
Multiple Stages

Time Series Implications of the Calvo Model of Sticky Prices

2003 ◽  
Author(s):  
Martin Eichenbaum ◽  
Jonas D. M. Fisher
Keyword(s):  
Time Series ◽  
Sticky Prices

Stale or Sticky Prices? Non-Trading, Predictability and Mutual Fund Returns

2007 ◽  
Author(s):  
Marshall E. Blume ◽  
Donald B. Keim
Keyword(s):  
Mutual Fund ◽  
Sticky Prices

Identification of biomarkers and functional modules from genomic data in stage-wise breast cancer

2020 ◽  
Vol 15 ◽  
Author(s):  
Athira K ◽  
Vrinda C ◽  
Sunil Kumar P V ◽  
Gopakumar G
Keyword(s):  
Breast Cancer ◽  
Expression Patterns ◽  
Differential Expression Analysis ◽  
Predictive Biomarkers ◽  
Stage I ◽  
Stage Ii ◽  
Stage Iii ◽  
Functional Modules ◽  
Incidence And Mortality ◽  
Multiple Stages

Background: Breast cancer is the most common cancer in women across the world, with high incidence and mortality rates. Being a heterogeneous disease, gene expression profiling based analysis plays a significant role in understanding breast cancer. Since expression patterns of patients belonging to the same stage of breast cancer vary considerably, an integrated stage-wise analysis involving multiple samples is expected to give more comprehensive results and understanding of breast cancer. Objective: The objective of this study is to detect functionally significant modules from gene co-expression network of cancerous tissues and to extract prognostic genes related to multiple stages of breast cancer. Methods: To achieve this, a multiplex framework is modelled to map the multiple stages of breast cancer, which is followed by a modularity optimization method to identify functional modules from it. These functional modules are found to enrich many Gene Ontology terms significantly that are associated with cancer. Result and Discussion: predictive biomarkers are identified based on differential expression analysis of multiple stages of breast cancer. Conclusion: Our analysis identified 13 stage-I specific genes, 12 stage-II specific genes, and 42 stage-III specific genes that are significantly regulated and could be promising targets of breast cancer therapy. That apart, we could identify 29, 18 and 26 lncRNAs specific to stage I, stage II and stage III respectively.

scholarly journals Zfp1, a putative Zn(II) 2 Cys 6 transcription factor, influences Ustilago maydis pathogenesis at multiple stages

2021 ◽  
Author(s):  
H.Y. Kitty Cheung ◽  
Michael E. Donaldson ◽  
Emilee R.M. Storfie ◽  
Kelsey L. Spence ◽  
Jessie L.O. Fetsch ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Ustilago Maydis ◽  
Multiple Stages

scholarly journals The Arp2/3 complex is essential at multiple stages of neural development

Neurogenesis ◽  
2016 ◽  
Vol 3 (1) ◽  
pp. e1261653 ◽  
Author(s):  
Fu-Sheng Chou ◽  
Pei-Shan Wang
Keyword(s):  
Neural Development ◽  
Multiple Stages

scholarly journals Ramsey policies in a small open economy with sticky prices and capital

2011 ◽  
Vol 35 (9) ◽  
pp. 1531-1546 ◽  
Author(s):  
Stéphane Auray ◽  
Beatriz de Blas ◽  
Aurélien Eyquem
Keyword(s):  
Open Economy ◽  
Small Open Economy ◽  
Sticky Prices
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