7 Works

AI3SD Project: Interpretable crystal descriptions across length scales for materials discovery

James Cumby
Most technological devices depend in some way on crystalline inorganic materials, from the perovskite oxides found in the capacitors underpinning phones and computers through to the ceramic materials used to insulate ovens and hobs. Future technologies will require new materials with different properties, but discovering these is a significant challenge; trial and error is simply too complex and time-consuming. An alternative approach is to harness our knowledge of the crystalline structure of existing materials in...

A new prognostic risk model based on autophagy-related genes in kidney renal clear cell carcinoma

Guangzhen Wu, Yingkun Xu, Huayu Zhang, Zihao Ruan, Peizhi Zhang, Zicheng Wang, Han Gao, Xiangyu Che, Qinghua Xia & Feng Chen
This study aimed to explore the potential role of autophagy-related genes in kidney renal clear cell carcinoma (KIRC) and develop a new prognostic-related risk model. In our research, we used multiple bioinformatics methods to perform a pan-cancer analysis of the CNV, SNV, mRNA expression, and overall survival of autophagy-related genes, and displayed the results in the form of heat maps. We then performed cluster analysis and LASSO regression analysis on these autophagy-related genes in KIRC....

Epigenome-wide association study of global cortical volumes in Generation Scotland: Scottish Family Health Study

Miruna Carmen Barbu, Mat Harris, Xueyi Shen, Stolicyn Aleks, Claire Green, Carmen Amador, Rosie Walker, Stewart Morris, Mark Adams, Anca Sandu, Christopher McNeil, Gordon Waiter, Kathryn Evans, Archie Campbell, Joanna Wardlaw, Douglas Steele, Alison Murray, David Porteous, Andrew McIntosh & Heather Whalley
A complex interplay of genetic and environmental risk factors influence global brain structural alterations associated with brain health and disease. Epigenome-wide association studies (EWAS) of global brain imaging phenotypes have the potential to reveal the mechanisms of brain health and disease and can lead to better predictive analytics through the development of risk scores. We perform an EWAS of global brain volumes in Generation Scotland using peripherally measured whole blood DNA methylation (DNAm) from two...

Epigenome-wide association study of global cortical volumes in generation Scotland: Scottish family health study

Miruna Carmen Barbu, Mat Harris, Xueyi Shen, Stolicyn Aleks, Claire Green, Carmen Amador, Rosie Walker, Stewart Morris, Mark Adams, Anca Sandu, Christopher McNeil, Gordon Waiter, Kathryn Evans, Archie Campbell, Joanna Wardlaw, Douglas Steele, Alison Murray, David Porteous, Andrew McIntosh & Heather Whalley
A complex interplay of genetic and environmental risk factors influence global brain structural alterations associated with brain health and disease. Epigenome-wide association studies (EWAS) of global brain imaging phenotypes have the potential to reveal the mechanisms of brain health and disease and can lead to better predictive analytics through the development of risk scores. We perform an EWAS of global brain volumes in Generation Scotland using peripherally measured whole blood DNA methylation (DNAm) from two...

Θυμός in Homer: Philological, Oral-Poetic, and Cognitive Approaches

Douglas Cairns

Epigenome-wide association study of global cortical volumes in generation Scotland: Scottish family health study

Miruna Carmen Barbu, Mat Harris, Xueyi Shen, Stolicyn Aleks, Claire Green, Carmen Amador, Rosie Walker, Stewart Morris, Mark Adams, Anca Sandu, Christopher McNeil, Gordon Waiter, Kathryn Evans, Archie Campbell, Joanna Wardlaw, Douglas Steele, Alison Murray, David Porteous, Andrew McIntosh & Heather Whalley
A complex interplay of genetic and environmental risk factors influence global brain structural alterations associated with brain health and disease. Epigenome-wide association studies (EWAS) of global brain imaging phenotypes have the potential to reveal the mechanisms of brain health and disease and can lead to better predictive analytics through the development of risk scores. We perform an EWAS of global brain volumes in Generation Scotland using peripherally measured whole blood DNA methylation (DNAm) from two...

A new prognostic risk model based on autophagy-related genes in kidney renal clear cell carcinoma

Guangzhen Wu, Yingkun Xu, Huayu Zhang, Zihao Ruan, Peizhi Zhang, Zicheng Wang, Han Gao, Xiangyu Che, Qinghua Xia & Feng Chen
This study aimed to explore the potential role of autophagy-related genes in kidney renal clear cell carcinoma (KIRC) and develop a new prognostic-related risk model. In our research, we used multiple bioinformatics methods to perform a pan-cancer analysis of the CNV, SNV, mRNA expression, and overall survival of autophagy-related genes, and displayed the results in the form of heat maps. We then performed cluster analysis and LASSO regression analysis on these autophagy-related genes in KIRC....

Registration Year

  • 2021
    7

Resource Types

  • Text
    7

Affiliations

  • University of Edinburgh
    7
  • Royal Adelaide Hospital
    3
  • MRC Institute of Genetics and Molecular Medicine
    3
  • Henan University
    2
  • Chengdu Third People's Hospital
    2
  • Central South University
    2
  • Longgang Central Hospital
    2
  • Wenzhou Medical University
    2
  • Shanghai University of Traditional Chinese Medicine
    2
  • Lanzhou University
    2