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Intelligent Computing in Carcinogenic Disease Detection
0 - Default Title
Description
Chapters 3, 4 and 5 elaborate on several intelligent gene selection methodologies such as filter methodologies and wrapper methodologies. In addition, various gene selection philosophies for identifying relevant carcinogenic genes are described in detail. In turn, Chapters 6 and 7 tackle the issues of using cell-level and tissue-level datasets to effectively detect carcinogenic diseases. The performance of different intelligent feature selection techniques is evaluated on cell-level and tissue-level datasets to validate their effectiveness in the context of carcinogenic disease detection.
In closing, the book presents illustrative case studies that demonstrate the value of intelligent computing strategies.
Product details
Binding:
Paperback
Number of Pages:
196
Release Date:
2025-05-17
Publication Date:
2025-05-17
Publisher:
Springer
Languages:
Original:
English
ISBN10:
9819724260
ISBN13:
9789819724260
GPSR Manufacturer Reference:
Weight:
306 g
Height:
155 cm
Width:
235 cm
Thickness:
11 cm
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