Search
Code Directory
 ASP
 ASP.NET
 C/C++
 CFML
 CGI/PERL
 Delphi
 Development
 Flash
 HTML
 Java
 JavaScript
 Pascal
 PHP
 Python
 SQL
 Tools
 Visual Basic & VB.NET
 XML
New Code
GetOrgChart 2.5.3
AnyGantt JS Gantt Charts 8.6.0
AnyChart JS Charts and Dashboards 8.6.0
Multi Vendor Ecommerce Script & Apps 4.0
Magento 2 Inventory Management Extension 1.0
Yipit Clone Script - Daily Deals Software 1.0.2
Devart Excel Add-in for Oracle 1.7
Devart Excel Add-in for Freshdesk 1.7
Devart Excel Add-in for G Suite 1.7
C# QR Code Generator 4.0.2.2
Salesforce WordPress Customer Portal 3.2.0
Single Leg MLM 1.2.1
OzGIS 14.6
Quick Maps For Dynamics CRM 3.1
Job Board Software 4.2
Top Code
MCU 8051 IDE 1.4.7
WinPoker 2.02
Farnsworth 1.0
School Management Script 1.0.4
WebKit2.NET 0.10
Simple IP Calculator sub/sup networking 0.0.4
Beremiz 1.0
ASLA 0.14
Ad Juggler 3.0
SynaSer Serial Port Library 5.0
MLM Software 1.0.2
Planyo online reservation system module 6.x-1.8
sipmethod 1.0
STDF file reader 1.0
.NET Obfuscator Standard Edition 6.2.0
Top Rated
VisualNEO Web 2018.12.15
Paste phpSoftPro 1.4.1
Deals and Discounts Website Script 1.0.2
ADO.NET Provider for ExactTarget 1.0
Solid File System OS edition 5.1
Classified Ad Lister 1.0
Aglowsoft SQL Query Tools 8.2
Invoice Manager by PHPJabbers 3.0
ICPennyBid Penny Auction Script 4.0
PHP Review Script 1.0
ATN Resume Finder 2.0
ATN Site Builder 3.0
Availability Booking Calendar PHP 1.0
PHP GZ Blog Script 1.1
ATN Jobs Software 4.0
Quantitative High-Throughput Gene Expression Imaging 1.0
File ID: 80200






Quantitative High-Throughput Gene Expression Imaging 1.0
Download Quantitative High-Throughput Gene Expression Imaging 1.0http://rubyforge.org/Report Error Link
License: Freeware
File Size: 7.3 MB
Downloads: 1
Submit Rating:
Quantitative High-Throughput Gene Expression Imaging 1.0 Description
Description: The collection includes several files.

1. The script flyexdemo.m uses the Image Processing and Curve Fitting Toolboxes to process an image of a Drosophila Embryo, stained with fluorescently tagged antibodies that bind to the products of an individual gene. The genes whose products are stained in these images are related to the processes that begin to segment the fly embryo into different sections.

2. The folder html contains a published HTML version of flyexdemo.m.

3. The file flyproc.m is version of the algorithm in flexdemo.m. All graphical output has been removed, and the script has been converted to a function that accepts as input the filename of a Drosophila image, and returns a rotated, cropped image, along with curves fit to the red, green and blue channels. flyproc.m is called by localflyexdemo.m and dctflyexdemo.m.

4. The files localflyexdemo.m and dctflyexdemo.m are scripts that batch-process a number of images using flyproc.m. localflyexdemo.m carries this out on the local computer, dctflyexdemo.m carries out the same operation on a cluster using the Distributed Computing Toolbox. It is instructive to compare the structure of these files to see how to simply convert a batch script into a distributed batch script.

5. The directory reportgen contains a .rpt file that can be used with the MATLAB Report Generator to process the images on a cluster, and automatically generate a PDF report of the results.

All images courtesy of the FlyEx Database, http://flyex.ams.sunysb.edu/flyex and http://urchin.spbcas.ru/flyex://http://flyex.ams.sunysb.edu/flyex a...spbcas.ru/flyex. Used by permission

License: Freeware

Related: carries, Local, Number, batchprocess, Computer, Operation, Toolbox, Computing, Distributed, Cluster, Scripts, dctflyexdemom, Curves, cropped, Rotated, Green, Channels, Files

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 7.3 MB

Downloads: 1



More Similar Code

a simple function that returns a colormap, C, for visualizing gene expression. C is just a N x 3 matrix [R G B] describing the range of color values.

example usage:
C = exp_colormap('blue-yellow',64);
colormap(C);

called without any arguments, it returns a [3 x 64] green-red colormap.

options for 'colors' are:

'blue-yellow'
'green-red'
'yellow'

'N' represents the...



GeneX is an gene expression database system with an integrated toolset thatenables researchers to store, analyze, and communicate their data.



In one type of gene expression analysis, fluorescently tagged messenger RNA from different cells are hybridized to a microscopic array of thousands of complimentary DNA spots that correspond to different genes. Illuminated spots emit different...



A data model, data capture solution and front end for archiving the details and results of high content live cell imaging experiments.



XVMSocket is a Linux Kernel Module that provides a new socket family for high throughput (40-70 times better than TCP/IP sockets) between applications running on different guest Linux VMs on the same Xen system. No changes to Xen or Linux required.



The CMVE toolbox estimates missing values by using correlation structure of the data. The software can be used to impute missing values in any correlated data especally microarray gene expression data. The imputation performance of the software...



Reverse transcription(RT) followed by PCR is a powerful tool for the detection and quantification of mRNA. It is the most sensitive method for the detection and quantification of gene expression levels, in particular for low abundance mRNA.



The CMVE toolbox estimates missing values by using correlation structure of the data. The software can be used to impute missing values in any correlated data especally microarray gene expression data.

The imputation performance of the...



Project MOVED to Codehaus New location is http://esper.codehaus.org The Esper project aims to provide a general-purpose event processing facility in Java for complex event processing of real-time, high throughput data streams.



PicoDB is an lightweight, super fast, object oriented in-memory database (or better: persistence layer) for Java applications.It's strengths are very low latency and high throughput.

User Review for Quantitative High-Throughput Gene Expression Imaging
- required fields
     

Please enter text on the image