Machine Learning Approach: For dimensionality reduction of microarray data - Rabia Musheer,C. K. Verma,Namita Srivastava
-25% koodilla BOOKS
Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
For past several years, microarray technology has attracted tremendous interest for both scientific community and industry. Recently, the applications of microarrays include gene discovery, disease diagnosis and prognosis, drug discovery, etc. High dimensional data with small sample size is the main problem that generate the application of dimension reduction in microarray data analysis. It is seen that SVM ... Täydellinen kuvaus
Saatat myös pitää
TOP
INCOSE Systems Engineering Handbook
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI
Eliezer Yudkowsky, Nate Soares
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Open Circuits: The Inner Beauty of Electronic Components
Eric Schlaepfer, Windell Oskay
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Get started with MicroPython on Raspberry Pi Pico: The Official Raspberry Pi Pico Guide
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Practical Electronics for Inventors
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Nucleo Boards Programming with the STM32CubeIDE: Hands-on in more than 50 projects
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Steven L. Brunton, J. Nathan Kutz
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Fundamentals of Aerodynamics ISE
Christopher Cadou, John D. Anderson
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Black Holes: The Key to Understanding the Universe
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
KiCad Like A Pro - Fundamentals and Projects: Getting started with the world's best open-source PCB tool
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Foundations of Flavor: The Noma Guide to Fermentation: Including Step-By-Step Information on Making and Cooking with: Koji, Kombuchas, Shoyus, Misos, Vinegars, Garums, Lacto-Ferments and black Fruits Vegetables
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Make: Electronics: Learning by Discovery: A hands-on primer for the new electronics enthusiast
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Idea Factory: Bell Labs and the Great Age of American Innovation
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Flowers For Algernon: A Modern Literary Classic
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Professional SMD Assembly: Practical Low-Cost Methods for Reliable PCB Production
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Blood in the Machine: The Origins of the Rebellion Against Big Tech
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Learning the Art of Electronics: A Hands-On Lab Course
Thomas C. Hayes, Paul Horowitz, David Abrams
-25% koodilla BOOKS
Toimittajalla varastossa
Kuvaus
For past several years, microarray technology has attracted tremendous interest for both scientific community and industry. Recently, the applications of microarrays include gene discovery, disease diagnosis and prognosis, drug discovery, etc. High dimensional data with small sample size is the main problem that generate the application of dimension reduction in microarray data analysis. It is seen that SVM, ANN and NB have recently gained wide popularity for cancer classification problems. An efficient and reliable method of dimension reduction plays an important role to improve the performance of SVM, ANN and NB, when applied for classification of high dimensional microarray data. In this book, we applied different combinations of feature selection / extraction methods, as a novel hybrid dimension reduction method for SVM, ANN and NB classifiers. The obtained results are compared with other popular published dimension reduction methods for SVM, NB and ANN classifiers.
Lisätietoja
| Kirjoittaja | Rabia Musheer, C. K. Verma, Namita Srivastava |
|---|---|
| Julkaisija | LAP LAMBERT Academic Publishing |
| Julkaisuvuosi | 2020 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9786200568434 |