Opportunities and obstacles for deep learning in biology and medicine
Deep learning describes a class of machine learning algorithms that are capable of combining
raw inputs into layers of intermediate features. These algorithms have recently shown …
raw inputs into layers of intermediate features. These algorithms have recently shown …
Electrolyte‐gated transistors for organic and printed electronics
Here we summarize recent progress in the development of electrolyte‐gated transistors (EGTs)
for organic and printed electronics. EGTs employ a high capacitance electrolyte as the …
for organic and printed electronics. EGTs employ a high capacitance electrolyte as the …
[HTML][HTML] Trends in insulin resistance: insights into mechanisms and therapeutic strategy
…, X Chi, Y Wang, S Setrerrahmane, W Xie… - Signal transduction and …, 2022 - nature.com
The centenary of insulin discovery represents an important opportunity to transform diabetes
from a fatal diagnosis into a medically manageable chronic condition. Insulin is a key …
from a fatal diagnosis into a medically manageable chronic condition. Insulin is a key …
[HTML][HTML] Deep speech 2: End-to-end speech recognition in english and mandarin
We show that an end-to-end deep learning approach can be used to recognize either English
or Mandarin Chinese speech–two vastly different languages. Because it replaces entire …
or Mandarin Chinese speech–two vastly different languages. Because it replaces entire …
[HTML][HTML] Integrative analysis of 111 reference human epigenomes
The reference human genome sequence set the stage for studies of genetic variation and
its association with human disease, but epigenomic studies lack a similar reference. To …
its association with human disease, but epigenomic studies lack a similar reference. To …
RETRACTED: 6-month consequences of COVID-19 in patients discharged from hospital: a cohort study
…, Y Zhao, L Chen, D Xu, Y Li, C Li, L Peng, Y Li, W Xie… - The Lancet, 2021 - thelancet.com
Background The long-term health consequences of COVID-19 remain largely unclear. The
aim of this study was to describe the long-term health consequences of patients with COVID-…
aim of this study was to describe the long-term health consequences of patients with COVID-…
[PDF][PDF] Prognostic factors for overall survival in patients with metastatic renal cell carcinoma treated with vascular endothelial growth factor–targeted agents: results …
… Daniel YC Heng, Wanling Xie, Meredith M. Regan, Mark A. Warren, Ali Reza Golshayan,
Chakshu Sahi, Bernhard J. … Data analysis and interpretation: Daniel YC Heng, Wanling …
Chakshu Sahi, Bernhard J. … Data analysis and interpretation: Daniel YC Heng, Wanling …
Corporate immunity to the COVID-19 pandemic
We evaluate the connection between corporate characteristics and the reaction of stock
returns to COVID-19 cases using data on more than 6,700 firms across 61 economies. The …
returns to COVID-19 cases using data on more than 6,700 firms across 61 economies. The …
Expression of a mitogen-responsive gene encoding prostaglandin synthase is regulated by mRNA splicing.
WL Xie, JG Chipman, DL Robertson… - Proceedings of the …, 1991 - National Acad Sciences
Rous sarcoma virus was shown to induce in chicken embryo fibroblasts (CEF) a 4.1-kilobase
mRNA (designated CEF-147) encoding a 603-amino acid protein. Analysis of the protein …
mRNA (designated CEF-147) encoding a 603-amino acid protein. Analysis of the protein …
Vggface2: A dataset for recognising faces across pose and age
In this paper, we introduce a new large-scale face dataset named VGGFace2. The dataset
contains 3.31 million images of 9131 subjects, with an average of 362.6 images for each …
contains 3.31 million images of 9131 subjects, with an average of 362.6 images for each …