FTIR Microscopy for Kinetic Measurements in High-Throughput Photopolymerization: Experimental Design and Application

2009 ◽  
Vol 3 (9) ◽  
pp. 522-528 ◽  
Author(s):  
Peter M. Johnson ◽  
Jeffrey W. Stansbury ◽  
Christopher N. Bowman
Keyword(s):  
Experimental Design ◽  
High Throughput ◽  
Ftir Microscopy ◽  
Kinetic Measurements ◽  
Design And Application

scholarly journals Intuitive Web-Based Experimental Design for High-Throughput Biomedical Data

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Andreas Friedrich ◽  
Erhan Kenar ◽  
Oliver Kohlbacher ◽  
Sven Nahnsen
Keyword(s):  
Big Data ◽  
Experimental Design ◽  
High Throughput ◽  
Large Scale ◽  
Integrated Design ◽  
Added Value ◽  
Biomedical Data ◽  
Data Generation ◽  
Web Based ◽  
Data Annotation

Big data bioinformatics aims at drawing biological conclusions from huge and complex biological datasets. Added value from the analysis of big data, however, is only possible if the data is accompanied by accurate metadata annotation. Particularly in high-throughput experiments intelligent approaches are needed to keep track of the experimental design, including the conditions that are studied as well as information that might be interesting for failure analysis or further experiments in the future. In addition to the management of this information, means for an integrated design and interfaces for structured data annotation are urgently needed by researchers. Here, we propose a factor-based experimental design approach that enables scientists to easily create large-scale experiments with the help of a web-based system. We present a novel implementation of a web-based interface allowing the collection of arbitrary metadata. To exchange and edit information we provide a spreadsheet-based, humanly readable format. Subsequently, sample sheets with identifiers and metainformation for data generation facilities can be created. Data files created after measurement of the samples can be uploaded to a datastore, where they are automatically linked to the previously created experimental design model.

Experimental design for high-throughput screening

1996 ◽  
Vol 1 (7) ◽  
pp. 277-286 ◽  
Author(s):  
Michael W. Lutz ◽  
J. Alan Menius ◽  
Tony D. Choi ◽  
Rebecca Gooding Laskody ◽  
Paul L. Domanico ◽  
...  
Keyword(s):  
Experimental Design ◽  
High Throughput ◽  
High Throughput Screening

TH-F-105-03: Experimental Design and Preliminary Results for High-Resolution and High-Throughput In-Vitro Measurements of Proton RBE

2013 ◽  
Vol 40 (6Part33) ◽  
pp. 552-552
Author(s):  
F Guan ◽  
R Mohan ◽  
J Dinh ◽  
M Kerr ◽  
L Perles ◽  
...  
Keyword(s):  
High Resolution ◽  
Experimental Design ◽  
High Throughput ◽  
Preliminary Results ◽  
In Vitro Measurements

simMSG: an experimental design tool for high-throughput genotyping of hybrids

2015 ◽  
Vol 16 (1) ◽  
pp. 183-192 ◽  
Author(s):  
Molly Schumer ◽  
Rongfeng Cui ◽  
Gil G. Rosenthal ◽  
Peter Andolfatto
Keyword(s):  
Experimental Design ◽  
High Throughput ◽  
Design Tool

Experimental Design and Statistical Methods for Improved Hit Detection in High-Throughput Screening

2010 ◽  
Vol 15 (8) ◽  
pp. 990-1000 ◽  
Author(s):  
Nathalie Malo ◽  
James A. Hanley ◽  
Graeme Carlile ◽  
Jing Liu ◽  
Jerry Pelletier ◽  
...  
Keyword(s):  
Experimental Design ◽  
High Throughput ◽  
Random Error ◽  
Statistical Models ◽  
False Positive ◽  
High Throughput Screening ◽  
Operating Characteristic ◽  
Simulated Data ◽  
True Positive ◽  
Replicate Measurements

Identification of active compounds in high-throughput screening (HTS) contexts can be substantially improved by applying classical experimental design and statistical inference principles to all phases of HTS studies. The authors present both experimental and simulated data to illustrate how true-positive rates can be maximized without increasing false-positive rates by the following analytical process. First, the use of robust data preprocessing methods reduces unwanted variation by removing row, column, and plate biases. Second, replicate measurements allow estimation of the magnitude of the remaining random error and the use of formal statistical models to benchmark putative hits relative to what is expected by chance. Receiver Operating Characteristic (ROC) analyses revealed superior power for data preprocessed by a trimmed-mean polish method combined with the RVM t-test, particularly for small- to moderate-sized biological hits.

WE-EF-BRA-05: Experimental Design for High-Throughput In-Vitro RBE Measurements Using Protons, Helium and Carbon Ions

2015 ◽  
Vol 42 (6Part39) ◽  
pp. 3675-3675
Author(s):  
F Guan ◽  
U Titt ◽  
D Patel ◽  
L Bronk ◽  
R Taleei ◽  
...  
Keyword(s):  
Experimental Design ◽  
High Throughput ◽  
Carbon Ions
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