Computational approaches for variant prioritization include machine learning methods utilizing a large number of features, including molecular information, interaction networks, or phenotypes.
Bolton combined these human hearing models with model checking (an automated,
computational approach for finding problems in complex systems) to assess masking in a common patient - monitoring device with six different alarms.
The team also developed
a computational approach for analyzing patient - specific data to help doctors choose the most effective drugs for individual patients.
Results: Scientists at Pacific Northwest National Laboratory have developed a new
computational approach for comparing receptor networks in cells.
Here, I discuss a novel
computational approach for the detection of allostery in protein complexes by way of molecular dynamics simulation and advanced data reduction protocols.
In this talk I will describe a proposed
computational approach for the identification and characterization of GPIs in LC - MS / MS datasets.
Not exact matches
We differentiated between
computational approaches (either based on volume data, such as the number of mentions related to a party or candidate or the occurrence of particular hashtags; or endorsement data, such as the number of Twitter followers, Facebook friends or the number of «likes» received on Facebook walls), sentiment analysis
approaches, that pay attention to the language and try to attach a qualitative meaning to the comments (posts, tweets) published by social media users employing automated tools
for sentiment analysis (i.e., via natural language processing models or the employment of pre-defined ontological dictionaries), and finally what we call supervised and aggregated sentiment analysis (SASA), that is, techniques that exploit the human codification in their process and focus on the estimation of the aggregated distribution of the opinions, rather than on individual classification of each single text (Ceron et al. 2016).
Another target
for the
computational approach are flow batteries, in which the storage material is all dissolved in solution, allowing
for a particularly wide range of elemental mixes.
Computers Aid Drug Design and Discovery The Carolina Center
for Genome Sciences, as Vidha Iyer explains, illustrates how the synergy between experimental and
computational approaches to drug design can significantly advance the discovery process.
Approaching the problem of the mind from a computer science perspective, Baum argues
for a
computational explanation of though — one that sees the mind as «a complex but compact program.»
Last week, at the Association
for Computational Linguistics» Conference on Empirical Methods on Natural Language Processing, researchers from MIT's Computer Science and Artificial Intelligence Laboratory won a best - paper award
for a new
approach to information extraction that turns conventional machine learning on its head.
And the new
approach for computing the absorption spectrum will be incorporated in an upcoming release of the widely used NWChem
computational chemistry software suite later this year.
The development of a powerful new
computational approach will now allow
for a more comprehensive assessment of what people find aesthetically pleasing.
«We hope that by using these
computational approaches to understanding cancer cell systems, we've widened the field
for finding the new desperately needed cancer drugs,» said Dr Módos.
«The
computational approach allows us to model, right down to the atomic level, how small changes in protein sequence can have a major impact on signaling,» said MacDermaid, assistant professor of research at Temple's Institute for Computational Molec
computational approach allows us to model, right down to the atomic level, how small changes in protein sequence can have a major impact on signaling,» said MacDermaid, assistant professor of research at Temple's Institute
for Computational Molec
Computational Molecular Science.
Prof. Scharf says, «Our
approach is both safe and inexpensive, and a much more appealing alternative
for generating a complete shape at a low -
computational cost, using an innovative data collection method.»
The team's
approach is both safe and inexpensive, and a much more appealing alternative
for generating a complete shape at a low -
computational cost using an innovative data collection method.
Her team integrates both
computational and experimental
approaches to explore how perturbations to these gene networks can alter morphology, both within a species and across the grasses, with the ultimate goal of defining targets
for improving grain yield in cereals.
But the study, conducted through the new USTAR Center
for Genetic Discovery at the U of U, shows that Phevor's unique
approach allows it to identify disease - causing genes more precisely than other
computational tools.
«We normally
approach genetics by limiting the investigation to single organisms or domains of life,» says Emmanuel Gonzalez, lead author of the study and bioinformatics specialist at the Canadian Centre
for Computational Genomics at McGill.
The authors conclude that «the purely
computational approach may therefore be able to narrow down the number of experiments needed
for the development of new materials.»
A multidisciplinary team of scientists from K4DD partners Merck KGaA (Darmstadt), Heidelberg Institute
for Theoretical Studies (HITS), and the Instituto de Biologia Experimental e Tecnológica (iBET)(Lisbon), applied state - of - the - art experimental and
computational approaches to investigate the determinants of target residence times
for a set of inhibitors of a widely studied cancer target, heat shock protein 90 (HSP90).
The researchers suggest, that although grammar as a whole might not be a better tool
for examining language change, a more nuanced
approach that combined
computational methods with large - scale databases of both grammar and lexicon could allow
for a look into the deeper past.
Now a team of scientists at the University of California, Irvine, has used a new
computational approach — the «linkage disequilibrium decay» test — to search
for signs of selection over the entire human genome.
It is anticipated that the
computational approach developed in this study can also provide important insights on the role of magma degassing as a potential trigger
for volcanic eruptions.
Their
approach allows researchers to search
for complex interactions by decoupling the order, or size, of interactions from the
computational cost of identification.
The materials community is interested in using the team's tool as part of an integrated
computational materials engineering
approach to design structural components — which could help optimize materials properties and reduce uncertainty
for given applications.
To bring all these data together
for analyses, we leverage recently developed, dedicated
computational approaches [27].
«Analysis of metastatic prostate cancers suggests treatment options: Study maps out abnormal signaling pathways in prostate cancer cells and provides
computational approaches to identify individualized targets
for therapy.»
Using high - powered
computational tools and techniques and advanced bioinformatics expertise, the personalized medicine
approach will enable researchers and physicians to predict and even prevent many health issues, and to better prescribe the right therapy
for the right person at the right time.
We also want to make it easy
for computational researchers to develop and share new analysis
approaches.
This Ideas Challenge recognizes the need
for an interdisciplinary
approach to microbiome research and invites the scientific community — including microbiologists, ecologists, chemists, physicists, engineers, material scientists, nanoscientists,
computational scientists and others — to submit their ideas
for novel experimental tools and methods aimed at understanding microbial interactions and function from new perspectives.
Encourages applications
for developing and testing innovative theories and
computational, mathematical, or engineering
approaches to deepen understanding of complex social behavior.
What's Next: This study also highlights the large number of spectra
for which peptide and protein identifications are not achieved, opening the door
for use of experimental and
computational approaches to identify the significant numbers of peptides effectively ignored by proteomics studies to date.
According to Sushko, their new
computational approach creates «a new paradigm in knowledge - based synthesis of highly ordered three - dimensional crystal structures»
for a range of practical applications in catalysis and energy - storage technologies.
For the
computational structure
approach, they relied on molecular replacement software implemented by SBGrid, generating a shell script to iteratively run hundreds of searches.
The study demonstrated the advantages of having an integrated
approach to gene prediction and developed a
computational framework
for combining multiple genome annotations.
For a systems - level understanding of all crucial protein interactions during cell division, we are combining automated single molecule calibrated imaging and
computational data analysis with advanced machine learning and modelling
approaches to build an integrated protein atlas of the human dividing cell.
Challenges to this
approach include the need
for innovation in machine learning algorithms and balancing the
computational cost of high - resolution simulations with the value of the information they provide.
The Functional Genomic and
Computational Assessment of Threats (Fun GCAT) program challenges research teams to develop new
approaches for screening genetic information
for evidence of a potential biological threat.
In one of the latest examples, a team led by Kenichiro Itami of Nagoya University and Djamaladdin G. Musaev of Emory University has used a
computational - experimental
approach to create a predictive regioselective reaction
for C — H imidation of aromatic compounds (Chem.
The Graduate Certificate Program in Neural Computation and Engineering provides interdisciplinary training
for students engaged in quantitative, mathematical, engineering and
computational approaches to problems in neuroscience.
Ongoing: Posters Open
for Viewing, Exhibit Hall, South Building Topics: Bioinformatics and
Computational Approaches, Posters 1181 - 1457; Molecular and Cytogenetic Diagnostics, Posters 2370 - 2601
Application of Modern Toxicology
Approaches for Predicting Acute Toxicity for Chemical Defense reviews the current state of computational and high - throughput approaches for predicting acute toxicity caused by chemical exposures likely to be encountered by deployed military
Approaches for Predicting Acute Toxicity
for Chemical Defense reviews the current state of
computational and high - throughput
approaches for predicting acute toxicity caused by chemical exposures likely to be encountered by deployed military
approaches for predicting acute toxicity caused by chemical exposures likely to be encountered by deployed military personnel.
These data identify genes that are essential
for colorectal cancer cell survival as well as synthetic lethal treatment combinations using novel
computational approaches.
In the last decade we have witnessed tremendous advances in our understanding of the landscape of the molecular alterations that underpin many of the most prevalent cancers, in the use of automated high - throughput platforms
for high - throughput drug screens in cancer cells, in the creation of more clinically relevant cancer cell models, and lastly in the development of more useful
computational approaches in the pursuit of biomarkers of drug response.
To study such effects, the Comparative Genomics group employs
computational and evolutionary
approaches to analyze whole genome datasets
for predicting genomic, epigenetic and expression differences between individuals.
Crucial
for our success is the experimental validation of our
computational approaches which we pursue in our laboratory or in collaboration with other scientists.
The EcoMOD (Model / Modify, Observe, Design) project will build on and extend our prior EcoMUVE curriculum
for middle school, using a design - based research
approach to combine an immersive virtual environment with hands - on interactive modeling through a scaffolded
computational interface.
Examples may include systems science
approaches (e.g.,
computational modeling and simulation, network analysis, and engineering control methods) to conceptualize prevention at the micro - or macro-levels of analyses; alternative intervention designs
for when randomization is not possible; new methods
for optimization of interventions; adaptive interventions and SMART designs; and innovative analytic
approaches including time varying effect models, and models
for incorporating intensive longitudinal data and / or real time data capture in prevention science research.