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Machine Learning for Small Molecule Identification
Huibin Shen
Department of Computer Science
Professorship Rousu Juho
Research output
:
Thesis
›
Doctoral Thesis
›
Collection of Articles
Overview
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Dive into the research topics of 'Machine Learning for Small Molecule Identification'. Together they form a unique fingerprint.
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Biochemistry, Genetics and Molecular Biology
Learning
100%
Small Molecule
100%
Molecule
66%
Data Base
66%
Mass Spectrum
66%
Metabolite
55%
Sample
44%
Spectrum
33%
Chemical Structure
22%
Computer Model
11%
Organisms
11%
Plant
11%
Mass Spectrometry
11%
Biological Phenomena and Functions Concerning the Entire Organism
11%
Dissociation
11%
Ethylene
11%
Mole (Insectivora)
11%
Tandem Mass Spectrometry
11%
Kernel Method
11%
Physics
Machine Learning
100%
Molecules
100%
Molecular Structure
66%
Spectra
33%
Mass Spectroscopy
22%
Fragmentation
22%
Technology
11%
Computers
11%
Information
11%
Assessments
11%
Learning
11%
Output
11%
Focusing
11%
Gaps
11%
Identifying
11%
Plant
11%
Dissociation
11%
Biological Process
11%
Openings
11%
View
11%
Leaves
11%
Moles
11%
Shedding
11%
Organism
11%
Hormones
11%
Computer Science
Identification
100%
Machine Learning
100%
Database
66%
Fragmentation
22%
Reference Spectrum
22%
Computer
11%
Multiple Kernel Learning
11%
Benchmark
11%
Regression
11%
Traditional Method
11%
Input/Output
11%
New-State
11%
Critical Assessment
11%
Chemistry
Molecule
100%
Metabolite
55%
Sample
44%
Spectra
33%
Procedure
22%
Ethylene
22%
Fragmentation
22%
Engineering Process
11%
Number
11%
Dissociation
11%
Mass Spectrometry
11%
Tandem Mass Spectrometry
11%
Chemical Engineering
Learning System
100%
Mass Spectrometry
22%
Ethylene
11%