Machine learning in bioinformatics /
Material type:
- 572.80285 MAC 22
- QH324.2 .Z46 2008
Item type | Current library | Call number | Status | Barcode | |
---|---|---|---|---|---|
BOOK | CSIR-Institute of Himalayan Bioresource Technology | 572.80285 MAC (Browse shelf(Opens below)) | Available | 6230 |
Includes bibliographical references and index.
Feature selection for genomic and proteomic data mining / Sun-Yuan Kung and Man-Wai Mak -- Comparing and visualizing gene selection and classification methods for microarray data / Rajiv S. Menjoge and Roy E. Welsch -- Adaptive kernel classifiers via matrix decomposition updating for biological data analysis / Hyunsoo Kim and Haesun Park -- Bootstrapping consistency method for optimal gene selection from microarray gene expression data for classification problems / Shaoning Pang ... [et al.] -- Fuzzy gene mining : a fuzzy-based framework for cancer microarray data analysis / Zhenyu Wang and Vasile Palade -- Feature selection for ensemble learning and its application / Guo-Zheng Li and Jack Y. Yang -- Sequence-based prediction of residue-level properties in proteins / Shandar Ahmad ... [et al.] -- Consensus approaches to protein structure prediction / Dongbo Bu ... [et al.] -- Kernel methods in protein structure prediction / Jayavardhana Gubbi, Alistair Shilton, and Marimuthu Palaniswami -- Evolutionary granular kernel trees for protein subcellular location prediction / Bo Jin and Yan-Qing Zhang -- Probabilistic models for long-range features in biosequences / Li Liao -- Neighborhood profile search for motif refinement / Chandan K. Reddy, Yao-Chung Weng, and Hsiao-Dong Chiang -- Markov/neural model for eukaryotic promoter recognition / Jagath C. Rajapakse and Sy Loi Ho -- Eukaryotic promoter detection based on word and sequence feature selection and combination / Xudong Xie, Shuanhu Wu, and Hong Yan -- Feature characterization and testing of bidirectional promoters in the human genome-- significance and applications in human genome research / Mary Q. Yang, David C. King, and Laura L. Elnitski -- Supervised learning methods for the microRNA studies / Byoung-Tak Zhang and Jin-Wu Nam -- Machine learning for computational haplotype analysis / Phil H. Lee and Hagit Shatkay -- Machine learning applications in SNP-- disease association study / Pritam Chanda, Aidong Zhang, and Murali Ramanathan -- Nanopore cheminformatics-based studies of individual molecular interactions / Stephen Winters-Hilt -- Information fusion framework for biomedical informatics / Srivatsava R. Ganta ... [et al.].
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