Titlebook: Computational Intelligence in Biomedicine and Bioinformatics; Current Trends and A Tomasz G. Smolinski,Mariofanna G. Milanova,Aboul-E Book

嚴峻

書目名稱Computational Intelligence in Biomedicine and Bioinformatics影響因子(影響力)




書目名稱Computational Intelligence in Biomedicine and Bioinformatics影響因子(影響力)學科排名




書目名稱Computational Intelligence in Biomedicine and Bioinformatics網絡公開度




書目名稱Computational Intelligence in Biomedicine and Bioinformatics網絡公開度學科排名




書目名稱Computational Intelligence in Biomedicine and Bioinformatics被引頻次




書目名稱Computational Intelligence in Biomedicine and Bioinformatics被引頻次學科排名




書目名稱Computational Intelligence in Biomedicine and Bioinformatics年度引用




書目名稱Computational Intelligence in Biomedicine and Bioinformatics年度引用學科排名




書目名稱Computational Intelligence in Biomedicine and Bioinformatics讀者反饋




書目名稱Computational Intelligence in Biomedicine and Bioinformatics讀者反饋學科排名

fixed-joint

IT Strategy — Using IT for Value Creationand the ovarian cancer data set. In all cases we obtained 100% accuracy with fewer genes in comparison with previously published results. Our result shows the FNN classifier not only improves the accuracy of cancer classification problem but also helps biologists to find a better relationship between important genes and development of cancers.

Sigmoidoscopy

https://doi.org/10.1007/978-3-8349-9325-0 are the use of simple and effective techniques rather than complex non-linear models, the use of interpretable methods and the use of scalable computational solutions able to deal with multiplatform and multisource data.

Keratin

Induction

蔓藤圖飾

Assisting Cancer Diagnosis with Fuzzy Neural Networksand the ovarian cancer data set. In all cases we obtained 100% accuracy with fewer genes in comparison with previously published results. Our result shows the FNN classifier not only improves the accuracy of cancer classification problem but also helps biologists to find a better relationship between important genes and development of cancers.

蔓藤圖飾

chemoprevention

Power-Law Signatures and Patchiness in Genechip Oligonucleotide Microarraystablished on publicly available microarrays generated across laboratories investigating the same paradigm. Persistence of these similarities across raw as well as background subtracted probe intensities is also investigated. The results presented raise fundamental concerns in interpreting Genechip oligonucleotide microarray data.

Palpable

1860-949X verview of powerful state-of-the-art methodologies that are currently utilized for biomedicine and/ or bioinformatics-oriented applications, so that researchers working in those fields could learn of new methods to help them tackle their problems. On the other hand, the CI community will find this b

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Book 2008informatics-oriented applications, so that researchers working in those fields could learn of new methods to help them tackle their problems. On the other hand, the CI community will find this book useful by discovering a new and intriguing area of applications. In order to help fill the gap between