Skip to main content

Advanced Search

Projected result for your current search: 0

Search Operators:

You can use operators in your search query to narrow down your results even more. Click on the search operator to see an explanation of how it works.
Finds documents with exactly this word group, in exactly this word order and spelling (e.g. "employer branding").
Finds documents with both search terms (e.g. sales AND bonus).
Finds documents with one or the other search term (e.g. porsche OR volkswagen).
Finds documents with all search terms. Blank space is understood as AND (e.g. man robot production).
Finds documents with no appearance of the word behind NOT (e.g. ford NOT "harrison ford").
Finds documents where the search term is mentioned at least "n" times."n" may be any number (e.g. COUNT(gear)>8).
Finds documents with both search terms in any word order, permitting "n" words as a maximum distance between them. Best choose between 15 and 30 (e.g. NEAR(recruit, professionals, 20)).
Finds documents with the search term in word versions or composites. The asterisk * marks whether you wish them BEFORE, BEHIND, or BEFORE and BEHIND the search term (e.g. lightweight*, *lightweight, *lightweight*).
Finds documents with the search term in different spellings. "?" allows only one character (e.g. organi?ation).
Special characters are understood as AND (e.g. Miller Bros. & Sons).

Semantic Search

powered by (Link opens in a new window)
loading …
Log in
Top

Effective Identification and Prediction of Breast Cancer Gene Using Volterra Based LMS/F Adaptive Filter

  • 2021
  • OriginalPaper
  • Chapter
Published in:
Authors
Lopamudra Das
Jitendra Kumar Das
Sarita Nanda
Published in
Progress in Advanced Computing and Intelligent Engineering
Publisher
Springer Singapore

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Cancer is a widespread hereditary disease in human beings and accounts for lots of deaths in the world. Early identification of the disease plays a significant role in picking the best treatment. Present work proposes a model which is based on the concept of Least Mean Square/Fourth (LMS/F) adaptive filtering algorithm along with the Volterra expansions of the input sequence. We have incorporated Trigonometric mapping along with (VLMS/F) filter to improve the prediction properties of breast cancer genes. Based on the value of MSE the decision is taken whether the anonymous target input sequence is cancer or healthy one. The proposed VLMS/F filter is tested on 10 breast cancers and 10 breast healthy benchmark genes available in GenBank. The MSE values for cancer and for all healthy case, the value is found to be >0.1 and <0.1, respectively. Thus the algorithm gives a satisfactory result.

Already a customer? Then log in here to gain access.

Customer login

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Business + Economics & Engineering + Technology"

Online-Abonnement

Springer Professional "Business + Economics & Engineering + Technology" gives you access to:

  • more than 130.000 books
  • more than 540 journals

from the following subject areas:

  • Automotive
  • Construction + Real Estate
  • Business IT + Informatics
  • Electrical Engineering + Electronics
  • Energy + Sustainability
  • Finance + Banking
  • Management + Leadership
  • Marketing + Sales
  • Mechanical Engineering + Materials
  • Surfaces + Materials Technology
  • Insurance + Risk


Secure your knowledge advantage now!

inform now

Springer Professional "Engineering + Technology"

Online-Abonnement

Springer Professional "Engineering + Technology" gives you access to:

  • more than 75.000 books
  • more than 390 journals

from the following specialised fileds:

  • Automotive
  • Business IT + Informatics
  • Construction + Real Estate
  • Electrical Engineering + Electronics
  • Energy + Sustainability
  • Mechanical Engineering + Materials
  • Surfaces + Materials Technology





 

Secure your knowledge advantage now!

inform now

Springer Professional "Business + Economics"

Online-Abonnement

Springer Professional "Business + Economics" gives you access to:

  • more than 100.000 books
  • more than 340 journals

from the following specialised fileds:

  • Construction + Real Estate
  • Business IT + Informatics
  • Finance + Banking
  • Management + Leadership
  • Marketing + Sales
  • Insurance + Risk



Secure your knowledge advantage now!

inform now

For explorers: Get to know our platforms better with a free registration.

Register for free
previous chapter A Novel Approach to Optimize Deep Neural Network Architectures
next chapter Architecture of Proposed Secured Crypto-Hybrid Algorithm (SCHA) for Security and Privacy Issues in Data Mining
Title
Effective Identification and Prediction of Breast Cancer Gene Using Volterra Based LMS/F Adaptive Filter
Authors
Lopamudra Das
Jitendra Kumar Das
Sarita Nanda
Copyright Year
2021
Publisher
Springer Singapore
Book
Progress in Advanced Computing and Intelligent Engineering

Print ISBN: 978-981-15-6352-2

Electronic ISBN: 978-981-15-6353-9

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-6353-9_27
This content is only visible if you are logged in and have the appropriate permissions.