"CASCADE_SCAN: Mining Signal Transduction Network From High-throughput Data Based On Steepest Descent Method." - Information and Links:

CASCADE_SCAN: Mining Signal Transduction Network From High-throughput Data Based On Steepest Descent Method. - Info and Reading Options

"CASCADE_SCAN: Mining Signal Transduction Network From High-throughput Data Based On Steepest Descent Method." and the language of the book is English.


“CASCADE_SCAN: Mining Signal Transduction Network From High-throughput Data Based On Steepest Descent Method.” Metadata:

  • Title: ➤  CASCADE_SCAN: Mining Signal Transduction Network From High-throughput Data Based On Steepest Descent Method.
  • Authors: ➤  
  • Language: English

Edition Identifiers:

  • Internet Archive ID: pubmed-PMC3120702

AI-generated Review of “CASCADE_SCAN: Mining Signal Transduction Network From High-throughput Data Based On Steepest Descent Method.”:


"CASCADE_SCAN: Mining Signal Transduction Network From High-throughput Data Based On Steepest Descent Method." Description:

The Internet Archive:

This article is from <a href="//archive.org/search.php?query=journaltitle%3A%28BMC%20Bioinformatics%29" rel="nofollow">BMC Bioinformatics</a>, <a href="//archive.org/search.php?query=journaltitle%3A%28BMC%20Bioinformatics%29%20AND%20volume%3A%2812%29" rel="nofollow">volume 12</a>.<h2>Abstract</h2>Background: Signal transduction is an essential biological process involved in cell response to environment changes, by which extracellular signaling initiates intracellular signaling. Many computational methods have been generated in mining signal transduction networks with the increasing of high-throughput genomic and proteomic data. However, more effective means are still needed to understand the complex mechanisms of signaling pathways. Results: We propose a new approach, namely CASCADE_SCAN, for mining signal transduction networks from high-throughput data based on the steepest descent method using indirect protein-protein interactions (PPIs). This method is useful for actual biological application since the given proteins utilized are no longer confined to membrane receptors or transcription factors as in existing methods. The precision and recall values of CASCADE_SCAN are comparable with those of other existing methods. Moreover, functional enrichment analysis of the network components supported the reliability of the results. Conclusions: CASCADE_SCAN is a more suitable method than existing methods for detecting underlying signaling pathways where the membrane receptors or transcription factors are unknown, providing significant insight into the mechanism of cellular signaling in growth, development and cancer. A new tool based on this method is freely available at http://www.genomescience.com.cn/CASCADE_SCAN/.

Read “CASCADE_SCAN: Mining Signal Transduction Network From High-throughput Data Based On Steepest Descent Method.”:

Read “CASCADE_SCAN: Mining Signal Transduction Network From High-throughput Data Based On Steepest Descent Method.” by choosing from the options below.

Available Downloads for “CASCADE_SCAN: Mining Signal Transduction Network From High-throughput Data Based On Steepest Descent Method.”:

"CASCADE_SCAN: Mining Signal Transduction Network From High-throughput Data Based On Steepest Descent Method." is available for download from The Internet Archive in "texts" format, the size of the file-s is: 13.12 Mbs, and the file-s went public at Sun Oct 26 2014.

Legal and Safety Notes

Copyright Disclaimer and Liability Limitation:

A. Automated Content Display
The creation of this page is fully automated. All data, including text, images, and links, is displayed exactly as received from its original source, without any modification, alteration, or verification. We do not claim ownership of, nor assume any responsibility for, the accuracy or legality of this content.

B. Liability Disclaimer for External Content
The files provided below are solely the responsibility of their respective originators. We disclaim any and all liability, whether direct or indirect, for the content, accuracy, legality, or any other aspect of these files. By using this website, you acknowledge that we have no control over, nor endorse, the content hosted by external sources.

C. Inquiries and Disputes
For any inquiries, concerns, or issues related to the content displayed, including potential copyright claims, please contact the original source or provider of the files directly. We are not responsible for resolving any content-related disputes or claims of intellectual property infringement.

D. No Copyright Ownership
We do not claim ownership of any intellectual property contained in the files or data displayed on this website. All copyrights, trademarks, and other intellectual property rights remain the sole property of their respective owners. If you believe that content displayed on this website infringes upon your intellectual property rights, please contact the original content provider directly.

E. Fair Use Notice
Some content displayed on this website may fall under the "fair use" provisions of copyright law for purposes such as commentary, criticism, news reporting, research, or educational purposes. If you believe any content violates fair use guidelines, please reach out directly to the original source of the content for resolution.

Virus Scanning for Your Peace of Mind:

The files provided below have already been scanned for viruses by their original source. However, if you’d like to double-check before downloading, you can easily scan them yourself using the following steps:

How to scan a direct download link for viruses:

  • 1- Copy the direct link to the file you want to download (don’t open it yet).
    • (a free online tool) and paste the direct link into the provided field to start the scan.
  • 2- Visit VirusTotal (a free online tool) and paste the direct link into the provided field to start the scan.
  • 3- VirusTotal will scan the file using multiple antivirus vendors to detect any potential threats.
  • 4- Once the scan confirms the file is safe, you can proceed to download it with confidence and enjoy your content.

Available Downloads

  • Source: Internet Archive
  • Internet Archive Link: Archive.org page
  • All Files are Available: Yes
  • Number of Files: 14
  • Number of Available Files: 14
  • Added Date: 2014-10-26 03:01:52
  • Scanner: Internet Archive Python library 0.7.5
  • PPI (Pixels Per Inch): 300
  • OCR: ABBYY FineReader 9.0

Available Files:

1- Text PDF

  • File origin: original
  • File Format: Text PDF
  • File Size: 0.00 Mbs
  • File Name: PMC3120702-1471-2105-12-164.pdf
  • Direct Link: Click here

2- Item Tile

  • File origin: original
  • File Format: Item Tile
  • File Size: 0.00 Mbs
  • File Name: __ia_thumb.jpg
  • Direct Link: Click here

3- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: pubmed-PMC3120702_files.xml
  • Direct Link: Click here

4- JSON

  • File origin: original
  • File Format: JSON
  • File Size: 0.00 Mbs
  • File Name: pubmed-PMC3120702_medline.json
  • Direct Link: Click here

5- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: pubmed-PMC3120702_meta.sqlite
  • Direct Link: Click here

6- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: pubmed-PMC3120702_meta.xml
  • Direct Link: Click here

7- DjVu

  • File origin: derivative
  • File Format: DjVu
  • File Size: 0.00 Mbs
  • File Name: PMC3120702-1471-2105-12-164.djvu
  • Direct Link: Click here

8- Animated GIF

  • File origin: derivative
  • File Format: Animated GIF
  • File Size: 0.00 Mbs
  • File Name: PMC3120702-1471-2105-12-164.gif
  • Direct Link: Click here

9- Abbyy GZ

  • File origin: derivative
  • File Format: Abbyy GZ
  • File Size: 0.00 Mbs
  • File Name: PMC3120702-1471-2105-12-164_abbyy.gz
  • Direct Link: Click here

10- DjVuTXT

  • File origin: derivative
  • File Format: DjVuTXT
  • File Size: 0.00 Mbs
  • File Name: PMC3120702-1471-2105-12-164_djvu.txt
  • Direct Link: Click here

11- Djvu XML

  • File origin: derivative
  • File Format: Djvu XML
  • File Size: 0.00 Mbs
  • File Name: PMC3120702-1471-2105-12-164_djvu.xml
  • Direct Link: Click here

12- Single Page Processed JP2 ZIP

  • File origin: derivative
  • File Format: Single Page Processed JP2 ZIP
  • File Size: 0.01 Mbs
  • File Name: PMC3120702-1471-2105-12-164_jp2.zip
  • Direct Link: Click here

13- Scandata

  • File origin: derivative
  • File Format: Scandata
  • File Size: 0.00 Mbs
  • File Name: PMC3120702-1471-2105-12-164_scandata.xml
  • Direct Link: Click here

14- Archive BitTorrent

  • File origin: metadata
  • File Format: Archive BitTorrent
  • File Size: 0.00 Mbs
  • File Name: pubmed-PMC3120702_archive.torrent
  • Direct Link: Click here

Search for “CASCADE_SCAN: Mining Signal Transduction Network From High-throughput Data Based On Steepest Descent Method.” downloads:

Visit our Downloads Search page to see if downloads are available.

Find “CASCADE_SCAN: Mining Signal Transduction Network From High-throughput Data Based On Steepest Descent Method.” in Libraries Near You:

Read or borrow “CASCADE_SCAN: Mining Signal Transduction Network From High-throughput Data Based On Steepest Descent Method.” from your local library.

Buy “CASCADE_SCAN: Mining Signal Transduction Network From High-throughput Data Based On Steepest Descent Method.” online:

Shop for “CASCADE_SCAN: Mining Signal Transduction Network From High-throughput Data Based On Steepest Descent Method.” on popular online marketplaces.