|
|
|
|
LEADER |
00000cam a2200000Mu 4500 |
001 |
EBOOKCENTRAL_on1235595818 |
003 |
OCoLC |
005 |
20240329122006.0 |
006 |
m o d |
007 |
cr ||||||||||| |
008 |
210130s2021 xx o ||| 0 eng d |
040 |
|
|
|a EBLCP
|b eng
|c EBLCP
|d YDX
|d OCLCQ
|d OCLCL
|d REDDC
|d OCLCO
|
019 |
|
|
|a 1232512310
|
020 |
|
|
|a 9781119785613
|
020 |
|
|
|a 1119785618
|
020 |
|
|
|z 1119785537
|
020 |
|
|
|z 9781119785538
|
035 |
|
|
|a (OCoLC)1235595818
|z (OCoLC)1232512310
|
050 |
|
4 |
|a QH324.2
|b .D383 2021
|
082 |
0 |
4 |
|a 570.285
|q OCoLC
|2 23/eng/20231120
|
049 |
|
|
|a UAMI
|
100 |
1 |
|
|a Satpathy, Rabinarayan.
|
245 |
1 |
0 |
|a Data Analytics in Bioinformatics
|h [electronic resource] :
|b A Machine Learning Perspective.
|
260 |
|
|
|a Newark :
|b John Wiley & Sons, Incorporated,
|c 2021.
|
300 |
|
|
|a 1 online resource (544 p.)
|
500 |
|
|
|a Description based upon print version of record.
|
505 |
0 |
|
|a Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgement -- Part 1: THE COMMENCEMENT OF MACHINE LEARNING SOLICITATION TO BIOINFORMATICS -- 1 Introduction to Supervised Learning -- 1.1 Introduction -- 1.2 Learning Process & its Methodologies -- 1.2.1 Supervised Learning -- 1.2.2 Unsupervised Learning -- 1.2.3 Reinforcement Learning -- 1.3 Classification and its Types -- 1.4 Regression -- 1.4.1 Logistic Regression -- 1.4.2 Difference between Linear & Logistic Regression -- 1.5 Random Forest -- 1.6 K-Nearest Neighbor -- 1.7 Decision Trees
|
505 |
8 |
|
|a 1.8 Support Vector Machines -- 1.9 Neural Networks -- 1.10 Comparison of Numerical Interpretation -- 1.11 Conclusion & Future Scope -- References -- 2 Introduction to Unsupervised Learning in Bioinformatics -- 2.1 Introduction -- 2.2 Clustering in Unsupervised Learning -- 2.3 Clustering in Bioinformatics-Genetic Data -- 2.3.1 Microarray Analysis -- 2.3.2 Clustering Algorithms -- 2.3.3 Partition Algorithms -- 2.3.4 Hierarchical Clustering Algorithms -- 2.3.5 Density-Based Approach -- 2.3.6 Model-Based Approach -- 2.3.7 Grid-Based Clustering -- 2.3.8 Soft Clustering -- 2.4 Conclusion -- References
|
505 |
8 |
|
|a 3 A Critical Review on the Application of Artificial Neural Network in Bioinformatics -- 3.1 Introduction -- 3.1.1 Different Areas of Application of Bioinformatics -- 3.1.2 Bioinformatics in Real World -- 3.1.3 Issues with Bioinformatics -- 3.2 Biological Datasets -- 3.3 Building Computational Model -- 3.3.1 Data Pre-Processing and its Necessity -- 3.3.2 Biological Data Classification -- 3.3.3 ML in Bioinformatics -- 3.3.4 Introduction to ANN -- 3.3.5 Application of ANN in Bioinformatics -- 3.3.6 Broadly Used Supervised Machine Learning Techniques -- 3.4 Literature Review
|
505 |
8 |
|
|a 3.4.1 Comparative Analysis of ANN With Broadly Used Traditional ML Algorithms -- 3.5 Critical Analysis -- 3.6 Conclusion -- References -- Part 2: MACHINE LEARNING AND GENOMIC TECHNOLOGY, FEATURE SELECTION AND DIMENSIONALITY REDUCTION -- 4 Dimensionality Reduction Techniques: Principles, Benefits, and Limitations -- 4.1 Introduction -- 4.2 The Benefits and Limitations of Dimension Reduction Methods -- 4.3 Components of Dimension Reduction -- 4.3.1 Feature Selection -- 4.3.2 Feature Reduction -- 4.4 Methods of Dimensionality Reduction -- 4.4.1 Principal Component Analysis (PCA)
|
505 |
8 |
|
|a 4.4.2 Missing Values Ratio (MVR) -- 4.4.3 Linear Discriminant Analysis (LDA) -- 4.4.4 Backward Feature Elimination (BFE) -- 4.4.5 Forward Feature Construction (FFC) -- 4.4.6 Independent Component Analysis (ICA) -- 4.4.7 Low Variance Filter (LVF) -- 4.4.8 High Correlation Filter -- 4.4.9 Random Forests (RF)/Ensemble Trees -- 4.4.10 t-Distributed Stochastic Neighbor Embedding (t-SNE) -- 4.4.11 Autoencoder -- 4.4.12 Factor Analysis (FA) -- 4.4.13 Uniform Manifold Approximation and Projection (UMAP) -- 4.4.14 Information Gain (IG) -- 4.4.15 Vector Quantization (VQ) -- 4.5 Conclusion -- References
|
500 |
|
|
|a 5 Plant Disease Detection Using Machine Learning Tools With an Overview on Dimensionality Reduction.
|
590 |
|
|
|a ProQuest Ebook Central
|b Ebook Central Academic Complete
|
650 |
|
0 |
|a Bioinformatics.
|
650 |
|
6 |
|a Bio-informatique.
|
700 |
1 |
|
|a Choudhury, Tanupriya.
|
700 |
1 |
|
|a Satpathy, Suneeta.
|
700 |
1 |
|
|a Mohanty, Sachi Nandan.
|
700 |
1 |
|
|a Zhang, Xiaobo.
|
758 |
|
|
|i has work:
|a Data analytics in bioinformatics (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFtbVgWdCfxDdPFTkPqpmq
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
776 |
0 |
8 |
|i Print version:
|a Satpathy, Rabinarayan
|t Data Analytics in Bioinformatics
|d Newark : John Wiley & Sons, Incorporated,c2021
|z 9781119785538
|
856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=6461960
|z Texto completo
|
938 |
|
|
|a ProQuest Ebook Central
|b EBLB
|n EBL6461960
|
938 |
|
|
|a YBP Library Services
|b YANK
|n 301896350
|
938 |
|
|
|a YBP Library Services
|b YANK
|n 17228831
|
994 |
|
|
|a 92
|b IZTAP
|