A new computational approach developed by researchers at The University of Texas MD Anderson Cancer Center successfully combines data from parallel gene-expression profiling methods to create spatial maps of a given tissue ...
Biotechnology
Mar 21, 2022
0
83
A new computational approach will improve understanding of different states of carbon and guide the search for materials yet to be discovered.
Analytical Chemistry
Oct 5, 2022
0
457
Experts from the University of Nottingham have developed new software which combines DNA sequencing and machine learning to help them find where, and to what extent, antibiotic resistant bacteria is being transmitted between ...
Cell & Microbiology
Apr 20, 2022
0
512
The majority of commercial chemicals that enter the market in the United States every year have insufficient health and safety data. For pesticides, the U.S. Environmental Protection Agency uses a variety of techniques to ...
Ecology
Mar 30, 2022
0
142
Northwestern University researchers have developed a new computational approach to accelerate the design of materials exhibiting metal-insulator transitions (MIT), a rare class of electronic materials that have shown potential ...
Materials Science
Nov 6, 2020
0
216
Groundwater makes up 30 to 50 percent of California's water supply, but until recently there were few restrictions placed on its retrieval. Then in 2014 California became the last Western state to require regulation of its ...
Earth Sciences
Jun 11, 2020
0
91
In the nucleus of every living cell, long strands of DNA are tightly folded into compact chromosomes. Now, thanks to a new computational approach developed at the Salk Institute, researchers can use the architecture of these ...
Molecular & Computational biology
Jul 9, 2019
0
55
A new approach uses data from one type of test on small metal alloy samples to extract enough information for building databases that can be used to predict the properties and potentials of new materials. The details were ...
Analytical Chemistry
Nov 7, 2022
0
15
Scientists from the iMolecule group at Skoltech Center for Computational and Data-Intensive Science and Engineering (CDISE) developed BiteNet, a machine learning (ML) algorithm that helps find drug binding sites, i.e. potential ...
Molecular & Computational biology
Oct 27, 2020
0
2
A new computational approach that allows the identification of molecular alterations associated with prognosis and resistance to therapy of different types of cancer was developed by the research group led by Nuno Barbosa ...
Molecular & Computational biology
Oct 4, 2018
0
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