Sold Out
Book Categories |
1 Feature Selection for Genomic and Proteomic Data Mining Sue-Yuan Kung Kung, Sue-Yuan Man-Wai Mak Mak, Man-Wai 1
2 Comparing and Visualizing Gene Selection and Classification Methods for Microarray Data Rajiv S. Menjoge Menjoge, Rajiv S. Roy E. Welsch Welsch, Roy E. 47
3 Adaptive Kernel Classifiers Via Matrix Decomposition Updating for Biological Data Analysis Hyunsoo Kim Kim, Hyunsoo Haesun Park Park, Haesun 69
4 Bootstrapping Consistency Method for Optimal Gene Selection from Microarray Gene Expression Data for Classification Problems Shaoning Pang Pang, Shaoning Ilkka Havukkala Havukkala, Ilkka Yingjie Hu Hu, Yingjie Nikola Kasabov Kasabov, Nikola 89
5 Fuzzy Gene Mining: A Fuzzy-Based Framework for Cancer Microarray Data Analysis Zhenyu Wang Wang, Zhenyu Vasile Palade Palade, Vasile 111
6 Feature Selection for Ensemble Learning and Its Application Guo-Zheng Li Li, Guo-Zheng Jack Y. Yang Yang, Jack Y. 135
7 Sequence-Based Prediction of Residue-Level Properties in Proteins Shandar Ahmad Ahmad, Shandar Yemlembam Hemjit Singh Singh, Yemlembam Hemjit Marcos J. Arauzo-Bravo Arauzo-Bravo, Marcos J. Akinori Sarai Sarai, Akinori 157
8 Consensus Approaches to Protein Structure Prediction Dongbo Bu Bu, Dongbo ShuaiCheng Li Li, ShuaiCheng Xin Gao Xin, Gao Libo Yu Yu, Libo Jinbo Xu Xu, Jinbo Ming Li Ming, Li 189
9 Kernel Methods in Protein Structure Prediction Jayavardhana Gubbi Gubbi, Jayavardhana Alistair Shilton Shilton, Alistair Marimuthu Palaniswami Palaniswami, Marimuthu 209
10 Evolutionary Granular Kernel Trees for Protein Subcellular Location Prediction Bo Jin Jin, Bo Yan-Qing Zhang Zhang, Yan-Qing 229
11 Probabilistic Models for Long-Range Features in BiosequencesLi Liao Li, Liao 241
12 Neighborhood Profile Search for Motif Refinement Chandan K. Reddy Reddy, Chandan K. Yao-Chung Weng Weng, Yao-Chung Hsiao-Dong Chiang Chiang, Hsiao-Dong 263
13 Markov/Neural Model for Eukaryotlc Promoter Recognition Jagath C. Rajapakse Rajapakse, Jagath C. Sy Loi Ho Ho, Sy Loi 283
14 Eukaryotic Promoter Detection Based on Word and Sequence Feature Selection and Combination Xudang Xie Xie, Xudang Shuanhu Wu Wu, Shuanhu Hong Yan Hong, Yan 301
15 Feature Characterization and Testing of Bidirectional Promoters in the Human Genome-Significance and Applications in Human Genome Research Mary Q. Yang Yang, Mary Q. David C. King King, David C. Laura L. Elnitski Elnitski, Laura L. 321
16 Supervised Learning Methods for MicroRNA Studies Byoung-Tak Zhang Zhang, Byoung-Tak Jin-Wu Nam Nam, Jin-Wu 339
17 Machine Learning for Computational Haplotype Analysis Phil H. Lee Lee, Phil H. Hagit Shatkay Shatkay, Hagit 367
18 Machine Learning Applications in SNP-Disease Association Study Pritam Chanda Chanda, Pritam Aidong Zhang Zhang, Aidong Murdi Ramanathan Ramanathan, Murdi 389
19 Nanopore Chemlntorrnatlcs-Based Studies of Individual Molecular Interactions Stephen Winters-Hill Winters-Hill, Stephen 413
20 An Information Fusion Framework for Biomedical Informatics Srivatsava R. Ganta Ganta, Srivatsava R. Anand Narasimhamarthy Narasimhamarthy, Anand Jyotsua Kasturi Kasturi, Jyotsua Raj Acharya Acharya, Raj 431
Index 453
Login|Complaints|Blog|Games|Digital Media|Souls|Obituary|Contact Us|FAQ
CAN'T FIND WHAT YOU'RE LOOKING FOR? CLICK HERE!!! X
You must be logged in to add to WishlistX
This item is in your Wish ListX
This item is in your CollectionMachine Learning in Bioinformatics
X
This Item is in Your InventoryMachine Learning in Bioinformatics
X
You must be logged in to review the productsX
X
X
Add Machine Learning in Bioinformatics, Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and i, Machine Learning in Bioinformatics to the inventory that you are selling on WonderClubX
X
Add Machine Learning in Bioinformatics, Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and i, Machine Learning in Bioinformatics to your collection on WonderClub |