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Carcinogens. --- Neoplasms --- chemically induced.

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During the last decades, cancer diseases have increased all over the world. The low quality of food and strong pollution of environment are the main prerequisites for carcinogenesis. The main problem for scientists is to find strategy for prevention of cancer diseases. Therefore, the information about the models for studying carcinogenesis and mutagens which appear during cooking, environmental pollutants, and tests for specific detection of carcinogens is particularly important. The book "Carcinogen" is intended for biologists, researchers, students in medical sciences and professionals interested in associated areas.

Carcinogens. --- Cancer causing agents --- Carcinogenic agents --- Oncogens --- Hazardous substances --- Oncology

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For more than a quarter century, Sittig's Handbook of Toxic and Hazardous Chemicals and Carcinogens has proven to be among the most reliable, easy-to-use and essential reference works on hazardous materials. Sittig's 5th Edition remains the lone comprehensive work providing a vast array of critical information on the 2,100 most heavily used, transported, and regulated chemical substances of both occupational and environmental concern. Information is the most vital resource anyone can have when dealing with potential hazardous substance accidents or acts of terror. Sittig's provides ex

Toxicology --- Industrial toxicology --- Carcinogens --- Cancer causing agents --- Carcinogenic agents --- Oncogens --- Hazardous substances

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Carcinogens --- Cancer --- Industrial toxicology --- Cancers --- Carcinoma --- Malignancy (Cancer) --- Malignant tumors --- Tumors --- Etiology

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This book draws on a range of intelligent computing methodologies to effectively detect and classify various carcinogenic diseases. These methodologies, which have been developed on a sound foundation of gene-level, cell-level and tissue-level carcinogenic datasets, are discussed in Chapters 1 and 2. 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.

Gene Expression Profiling. --- Datasets as Topic. --- Artificial Intelligence. --- Carcinogens. --- Neoplasms. --- Artificial intelligence --- Computer science. --- Engineering --- Data Science. --- Theory and Algorithms for Application Domains. --- Data Engineering. --- Data processing.