Results 61 to 70 of about 100,134 (293)

The promise, application and pitfalls of big data

open access: yes, 2019
Digital society is upon us (Lupton, 2015), and appears to have established a position in the zeitgeist of modern society. Digital society has emerged from and is expected to develop further via digitizing, big data, big data analytics, automatically ...
Adrian Wilkinson   +3 more
core   +1 more source

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

open access: yesMolecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim   +3 more
wiley   +1 more source

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

open access: yesMolecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq   +8 more
wiley   +1 more source

Computational History: From Big Data to Big Simulations

open access: yes, 2018
The first section of this chapter gives an overview on how big data and their mathematical calculation enter in the historical discourse. It introduces the two main issues that prevent ‘big’ results from emerging so far. Firstly, the input is problematic
Siew Ann Cheong   +3 more
core   +1 more source

Network Big Data Analysis and Application Systems for National Defense Security

open access: yes大数据, 2015
Based on the state of the art of big data research, a national security-oriented network big data analysis and application system was proposed, against existing problems of national security systems, such as data fragmentation, nonstandard, difficult to ...
Hongbo Xu, Bo Chen
doaj  

An efficient storage and service method for multi-source merging meteorological big data in cloud environment

open access: yesEURASIP Journal on Wireless Communications and Networking, 2019
With the development of the meteorological IoT (Internet of Things) and meteorological sensing network, the collected multi-source meteorological data have the characteristics of large amount of information, multidimensional and high accuracy.
Ming Yang   +6 more
doaj   +1 more source

From tumor‐centric to ecosystem‐based hypotheses in brain tumor research and care

open access: yesMolecular Oncology, EarlyView.
Primary brain tumors, whether in adults or children, present a major challenge because of their dramatic prognosis and the ongoing lack of efficient therapeutic approaches. In recent years, a shift has occurred from tumor‐centric concepts to a more holistic view of these tumors as dynamic ecosystems.
Julie Gavard   +8 more
wiley   +1 more source

BIG DATA Ontologies Community of Practice – Work Plan 2017

open access: yes, 2019
Given the multi-disciplinary nature of the CGIAR Big Data For Agriculture, the Ontologyies Community of Practice (CoP) will span the knowledge domains of importance for the platform with the objective of establishing best practices, guidelines in the ...
CGIAR Platform for Big Data in Agriculture
core  

CloudJet4BigData: Streamlining Big Data via an Accelerated Socket Interface [PDF]

open access: yes, 2014
Big data needs to feed users with fresh processing results and cloud platforms can be used to speed up big data applications. This paper describes a new data communication protocol (CloudJet) for long distance and large volume big data accessing ...
Theo Dimitrakos   +11 more
core   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

open access: yesFEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill   +4 more
wiley   +1 more source

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