A gentle introduction to support vector machines in biomedicine: 2 Case studies and benchmarks
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Singapore [u.a.]
World Scientific Publ.
2013
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | VIII, 201 S. Ill., graph. Darst. |
| ISBN: | 9789814324397 9814324396 |
Internformat
MARC
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| 245 | 1 | 0 | |a A gentle introduction to support vector machines in biomedicine |n 2 |p Case studies and benchmarks |c Alexander Statnikov ... |
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Datensatz im Suchindex
| _version_ | 1804149249784414208 |
|---|---|
| adam_text | Contents
Part I: Preliminaries
1
Chapter
1.
Introduction and Book Overview
3
Organization of the Second Volume
......................... 3
Acknowledgements
................................... 8
Chapter
2.
Methods Used in this Book
9
i. Basic Principles of Classification
......................... 9
u. Main Ideas of the SVM Algorithm for Binary Classification
.......... 13
m.
Mathematical Formulation of
S
VMs.......................
16
iv.
Theoretical Underpinnings of SVMs
....................... 17
v. Model Selection and Accuracy Estimation
.................... 18
vi.
Accuracy Metrics
................................. 23
vii.
Statistical Comparison of Classification Results
................. 24
viii.
SVMs for Variable/Feature Selection
...................... 27
ix.
Other Variable/Feature Selection Methods Used in this Book
......... 30
Part
П:
Case Studies and Comparative Evaluation in High-Throughput
Genomic Data
33
Chapter
3.
Application and Comparison of SVMs and Other Methods
for Multicategory Microarray-Based Cancer Classification
35
Methods
........................................ 36
Results
......................................... 43
Conclusions
...................................... 49
vi
Gentle Introduction to
SVMí
in Biomedicine,
A. Vol:
2
Chapter
4.
Comparison of SVMs and Random Forests for Microarray-Based
Cancer Classification
51
Methods
........................................ 52
Results
......................................... 57
Conclusions
...................................... 62
Chapter
5.
Comparison of SVMs and Kernel Ridge Regression
for Mi croarray-Based Cancer Classification (Contributed by Zhiguo Li)
65
Methods
........................................ 65
Results
......................................... 69
Conclusions
...................................... 72
Chapter
6.
Application and Comparison of SVMs and Other
Methods for Multicategory Classification in Microbiomics
(Contributed by
Mikael
Henaff, Kranti Konganti,
Var
un
Narendra,
Alexander
V. Alekseyenko)
73
Methods
........................................ 74
Results
......................................... 81
Conclusions
...................................... 86
Chapter
7.
Application to Assessment of Plasma Proteome Stability
87
Methods
........................................ 87
Results
......................................... 92
Conclusions
...................................... 93
Part III: Case Studies and Comparative Evaluation in Text Data
95
Chapter
8.
Application and Comparison of SVMs and Other Methods
for Retrieving High-Quality Content-Specific Articles
(Contributed by Yindalon Aphmyanaphongs)
97
Methods
........................................ 98
Results
......................................... 103
Conclusions
...................................... 105
Contents
vu
Chapter
9.
Application and Comparison of SVMs and Other Methods
for Identifying Unproven Cancer Treatments on the Web
(Contributed by Yindalon Aphinyanaphongs)
107
Methods
........................................ 108
Results
.........................................
HI
Conclusions
...................................... 112
Chapter
10.
Application to Predicting Future Article Citations
(Contributed by Lawrence
Fu)
113
Methods
........................................ 113
Results
......................................... 116
Conclusions
...................................... 121
Chapter
11.
Application to Classifying Instrumentality of Article Citations
(Contributed by Lawrence
Fu)
123
Methods
........................................ 124
Results
......................................... 127
Conclusions
...................................... 130
Chapter
12.
Application and Comparison of SVMs and Other Methods
for Identifying Drug-Drug Interactions-Related Literature
(Contributed by Stephany
Duda)
131
Methods
........................................ 131
Results
......................................... 135
Conclusions
...................................... 138
Part IV: Case Studies with Clinical Data
139
Chapter
13.
Application to Predicting Clinical Laboratory Values
141
Methods
........................................ 141
Results
......................................... 147
Conclusions
...................................... 150
viii
Gentle Introduction to SVMs in Bwmedicine, A Vol.
2
Chapter
14.
Application to Modeling Clinical Judgment and Guideline
Compliance in the Diagnosis of Melanoma (Contributed by Andrea Sboner)
151
Methods
........................................ 151
Results
......................................... 155
Conclusions
...................................... 160
Part V: Other Comparative Evaluation Studies of Broad Applicability
161
Chapter
15.
Using SVMs for Causal Variable Selection
163
Methods
........................................ 164
Results
......................................... 167
Conclusions
...................................... 176
Chapter
16.
Application and Comparison ofSVM-RRE and
GIJ,
Methods
for Variable Selection for Classification
177
Methods
........................................ 178
Results
......................................... 182
Conclusions
...................................... 187
Conclusions and Lessons Learned
189
Bibliography
191
Additional Reading for Presented Case Studies and Benchmarks
.......... 191
List of References
................................... 193
Index
199
|
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| id | DE-604.BV040252491 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T00:20:02Z |
| institution | BVB |
| isbn | 9789814324397 9814324396 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025108430 |
| oclc_num | 802344665 |
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| owner_facet | DE-355 DE-BY-UBR DE-19 DE-BY-UBM |
| physical | VIII, 201 S. Ill., graph. Darst. |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | World Scientific Publ. |
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| spelling | A gentle introduction to support vector machines in biomedicine 2 Case studies and benchmarks Alexander Statnikov ... Singapore [u.a.] World Scientific Publ. 2013 VIII, 201 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Support-Vektor-Maschine (DE-588)4505517-8 gnd rswk-swf Biomedizin (DE-588)4647152-2 gnd rswk-swf Support-Vektor-Maschine (DE-588)4505517-8 s Biomedizin (DE-588)4647152-2 s b DE-604 Statnikov, Alexander Sonstige oth (DE-604)BV040252468 2 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025108430&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | A gentle introduction to support vector machines in biomedicine Support-Vektor-Maschine (DE-588)4505517-8 gnd Biomedizin (DE-588)4647152-2 gnd |
| subject_GND | (DE-588)4505517-8 (DE-588)4647152-2 |
| title | A gentle introduction to support vector machines in biomedicine |
| title_auth | A gentle introduction to support vector machines in biomedicine |
| title_exact_search | A gentle introduction to support vector machines in biomedicine |
| title_full | A gentle introduction to support vector machines in biomedicine 2 Case studies and benchmarks Alexander Statnikov ... |
| title_fullStr | A gentle introduction to support vector machines in biomedicine 2 Case studies and benchmarks Alexander Statnikov ... |
| title_full_unstemmed | A gentle introduction to support vector machines in biomedicine 2 Case studies and benchmarks Alexander Statnikov ... |
| title_short | A gentle introduction to support vector machines in biomedicine |
| title_sort | a gentle introduction to support vector machines in biomedicine case studies and benchmarks |
| topic | Support-Vektor-Maschine (DE-588)4505517-8 gnd Biomedizin (DE-588)4647152-2 gnd |
| topic_facet | Support-Vektor-Maschine Biomedizin |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025108430&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV040252468 |
| work_keys_str_mv | AT statnikovalexander agentleintroductiontosupportvectormachinesinbiomedicine2 |