| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Affinity network fusion and semi-supervised learning for cancer patient clustering
|
Ma, Tianle
|
|
2018
|
145 |
C |
p. 16-24
|
artikel
|
| 2 |
An integrative approach to investigate the association among high-sensitive C-reactive protein, body fat mass distribution, and other cardiometabolic risk factors in young healthy women
|
Wu, Bin
|
|
2018
|
145 |
C |
p. 60-66
|
artikel
|
| 3 |
Data mining methods for analyzing biological data in terms of phenotypes
|
Kim, Sun
|
|
2018
|
145 |
C |
p. 1
|
artikel
|
| 4 |
DeepText2GO: Improving large-scale protein function prediction with deep semantic text representation
|
You, Ronghui
|
|
2018
|
145 |
C |
p. 82-90
|
artikel
|
| 5 |
Editorial Board
|
|
|
2018
|
145 |
C |
p. ii
|
artikel
|
| 6 |
In silico experiment system for testing hypothesis on gene functions using three condition specific biological networks
|
Lee, Chai-Jin
|
|
2018
|
145 |
C |
p. 10-15
|
artikel
|
| 7 |
Leveraging multiple gene networks to prioritize GWAS candidate genes via network representation learning
|
Wu, Mengmeng
|
|
2018
|
145 |
C |
p. 41-50
|
artikel
|
| 8 |
Multiplex confounding factor correction for genomic association mapping with squared sparse linear mixed model
|
Wang, Haohan
|
|
2018
|
145 |
C |
p. 33-40
|
artikel
|
| 9 |
POST: A framework for set-based association analysis in high-dimensional data
|
Cao, Xueyuan
|
|
2018
|
145 |
C |
p. 76-81
|
artikel
|
| 10 |
Predicting drug-disease associations and their therapeutic function based on the drug-disease association bipartite network
|
Zhang, Wen
|
|
2018
|
145 |
C |
p. 51-59
|
artikel
|
| 11 |
SigEMD: A powerful method for differential gene expression analysis in single-cell RNA sequencing data
|
Wang, Tianyu
|
|
2018
|
145 |
C |
p. 25-32
|
artikel
|
| 12 |
Statistical selection of biological models for genome-wide association analyses
|
Bi, Wenjian
|
|
2018
|
145 |
C |
p. 67-75
|
artikel
|
| 13 |
Variable selection in heterogeneous datasets: A truncated-rank sparse linear mixed model with applications to genome-wide association studies
|
Wang, Haohan
|
|
2018
|
145 |
C |
p. 2-9
|
artikel
|
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