| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A bimetallic nanocoral Au decorated with Pt nanoflowers (bio)sensor for H2O2 detection at low potential
|
Sanzò, Gabriella
|
|
2017
|
129 |
C |
p. 89-95
|
artikel
|
| 2 |
A machine learning approach for automated wide-range frequency tagging analysis in embedded neuromonitoring systems
|
Montagna, Fabio
|
|
2017
|
129 |
C |
p. 96-107
|
artikel
|
| 3 |
Backward genotype-transcript-phenotype association mapping
|
Lee, Seunghak
|
|
2017
|
129 |
C |
p. 18-23
|
artikel
|
| 4 |
Cover 1
|
|
|
2017
|
129 |
C |
p. OFC
|
artikel
|
| 5 |
Detecting exact breakpoints of deletions with diversity in hepatitis B viral genomic DNA from next-generation sequencing data
|
Cheng, Ji-Hong
|
|
2017
|
129 |
C |
p. 24-32
|
artikel
|
| 6 |
Drug-target interaction prediction using ensemble learning and dimensionality reduction
|
Ezzat, Ali
|
|
2017
|
129 |
C |
p. 81-88
|
artikel
|
| 7 |
Editorial Board
|
|
|
2017
|
129 |
C |
p. IFC
|
artikel
|
| 8 |
Functional association prediction by community profiling
|
Jiao, Dazhi
|
|
2017
|
129 |
C |
p. 8-17
|
artikel
|
| 9 |
Large-scale machine learning of media outlets for understanding public reactions to nation-wide viral infection outbreaks
|
Choi, Sungwoon
|
|
2017
|
129 |
C |
p. 50-59
|
artikel
|
| 10 |
Machine learning-based identification of endogenous cellular microRNA sponges against viral microRNAs
|
Kang, Soowon
|
|
2017
|
129 |
C |
p. 33-40
|
artikel
|
| 11 |
Machine learning methods and systems for data-driven discovery in biomedical informatics
|
Yoon, Sungroh
|
|
2017
|
129 |
C |
p. 1-2
|
artikel
|
| 12 |
Node-based learning of differential networks from multi-platform gene expression data
|
Ou-Yang, Le
|
|
2017
|
129 |
C |
p. 41-49
|
artikel
|
| 13 |
Synergistic target combination prediction from curated signaling networks: Machine learning meets systems biology and pharmacology
|
Chua, Huey Eng
|
|
2017
|
129 |
C |
p. 60-80
|
artikel
|
| 14 |
Toolkit for automated and rapid discovery of structural variants
|
Soylev, Arda
|
|
2017
|
129 |
C |
p. 3-7
|
artikel
|
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