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Data scalability
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Biomedical research is becoming increasingly large-scale and international. Cloud computing enables the comprehensive integration of genomic and clinical data, and the global sharing and collaborative processing of these data within a flexibly scalable infrastructure.
12p
vioraclene
31-03-2024
4
2
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Implementing and Developing Cloud Computing ApplicationsMajor enterprises and small start-ups are beginning to embrace cloud computing for the scalability and reliability that cloud vendors can provide. This book demonstrates how to implement robust and highly scalable cloud computing applications.
316p
haojiubujain08
01-11-2023
4
2
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"Ebook Big data: Principles and best practices of scalable real-time data systems" teaches you to build these systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to Big Data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of Big Data systems and how to implement them in practice.
330p
haojiubujain08
01-11-2023
5
3
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Part 1 of ebook "Rethinking the Internet of Things: A scalable approach to connecting everything" provides readers with contents including: chapter 1 - it’s different out here; chapter 2 - anatomy of the internet of things; chapter 3 - on the edge; chapter 4 - building a web of things; chapter 5 - small data, big data, and human interaction;...
99p
tieulangtran
28-09-2023
7
2
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Lecture Distributed systems (3/E) - Chapter 7: Consistency and Replication provide students with content about: performance and scalability; data-centric consistency models; continuous consistency; sequential consistency; grouping operations; consistency for mobile users; monotonic reads; server-initiated replicas;... Please refer to the detailed lecture content!
48p
diepkhinhchau
18-09-2023
8
5
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Ebook Host your web site in the cloud: Amazon web services made easy – Part 1 includes contents: Chapter 1 Welcome to cloud computing, Chapter 2 Amazon web services overview, Chapter 3 Tooling up, Chapter 4 Storing data with Amazon S3, Chapter 5 Web hosting with Amazon EC2, Chapter 6 Building a scalable architecture with Amazon SQS.
209p
haojiubujain02
03-07-2023
4
3
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This paper introduces a high-throughput unsupervised feature selection method, which improves the robustness and scalability of electronic medical record phenotyping without compromising its accuracy.
7p
visteverogers
24-06-2023
7
2
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Clinical decision support tools for risk prediction are readily available, but typically require workflow interruptions and manual data entry so are rarely used. Due to new data interoperability standards for electronic health records (EHRs), other options are available.
5p
visteverogers
24-06-2023
3
2
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Lack of access to high-frequency, high-volume patient-derived data, such as mechanical ventilator waveform data, has limited the secondary use of these data for research, quality improvement, and decision support. Existing methods for collecting these data are obtrusive, require high levels of technical expertise, and are often cost-prohibitive, limiting their use and scalability for research applications.
5p
visteverogers
24-06-2023
1
1
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Advancements in human genomics have generated a surge of available data, fueling the growth and accessibility of databases for more comprehensive, in-depth genetic studies. Results are consistent across the 2 cloud providers and could be highly useful for accelerating research in genetics.
6p
vighostrider
25-05-2023
5
2
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With the growing demand for sharing clinical trial data, scalable methods to enable privacy protective access to high-utility data are needed. Data synthesis is one such method. Sequential trees are commonly used to synthesize health data.
11p
vighostrider
25-05-2023
7
2
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Multimodal automated phenotyping (MAP) is a scalable, high-throughput phenotyping method, developed using electronic health record (EHR) data from an adult population. We tested transportability of MAP to a pediatric population.
5p
vighostrider
25-05-2023
2
2
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To propose a paradigm for a scalable time-aware clinical data search, and to describe the design, implementation and use of a search engine realizing this paradigm. The Advanced Cohort Engine (ACE) uses a temporal query language and in-memory datastore of patient objects to provide a fast, scalable, and expressive time-aware search.
12p
vighostrider
25-05-2023
2
2
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Lecture Data mining: Lesson 8. The main topics covered in this chapter include: classification and prediction; issues regarding classification and prediction; classification by decision tree induction; scalable decision tree induction; treatment effectiveness analysis;... Please refer to the content of document.
48p
tieuvulinhhoa
22-09-2022
10
4
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Measuring gene expression of tumor clones at single-cell resolution links functional consequences to somatic alterations. Without scalable methods to simultaneously assay DNA and RNA from the same single cell, parallel single-cell DNA and RNA measurements from independent cell populations must be mapped for genome-transcriptome association.
12p
vigalileogalilei
27-02-2022
12
1
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Single-cell RNA sequencing (scRNA-seq) offers new opportunities to study gene expression of tens of thousands of single cells simultaneously. We present DeepImpute, a deep neural network-based imputation algorithm that uses dropout layers and loss functions to learn patterns in the data, allowing for accurate imputation.
14p
vielonmusk
30-01-2022
10
0
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Dimensionality reduction is an indispensable analytic component for many areas of single-cell RNA sequencing (scRNA-seq) data analysis. Proper dimensionality reduction can allow for effective noise removal and facilitate many downstream analyses that include cell clustering and lineage reconstruction.
21p
vielonmusk
30-01-2022
9
1
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SCANPY is a scalable toolkit for analyzing single-cell gene expression data. It includes methods for preprocessing, visualization, clustering, pseudotime and trajectory inference, differential expression testing, and simulation of gene regulatory networks.
5p
vialfrednobel
29-01-2022
6
0
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The assembly of large, repeat-rich eukaryotic genomes represents a significant challenge in genomics. While long-read technologies have made the high-quality assembly of small, microbial genomes increasingly feasible, data generation can be expensive for larger genomes. OPERA-LG is a scalable, exact algorithm for the scaffold assembly of large, repeatrich genomes, out-performing state-of-the-art programs for scaffold correctness and contiguity.
16p
viaristotle
29-01-2022
13
0
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We present a novel approach, the Local Edge Machine, for the inference of regulatory interactions directly from time-series gene expression data. We demonstrate its performance, robustness, and scalability on in silico datasets with varying behaviors, sizes, and degrees of complexity. Moreover, we demonstrate its ability to incorporate biological prior information and make informative predictions on a well-characterized in vivo system using data from budding yeast that have been synchronized in the cell cycle.
13p
viaristotle
29-01-2022
9
0
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