| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Accelerating precision medicine through genetic and genomic big data analysis
|
Cai, Yudong
|
|
2018
|
1864 |
6PB |
p. 2215-2217
|
artikel
|
| 2 |
A web platform for the network analysis of high-throughput data in melanoma and its use to investigate mechanisms of resistance to anti-PD1 immunotherapy
|
Dreyer, Florian S.
|
|
2018
|
1864 |
6PB |
p. 2315-2328
|
artikel
|
| 3 |
Calmodulin and IQGAP1 activation of PI3Kα and Akt in KRAS, HRAS and NRAS-driven cancers
|
Nussinov, Ruth
|
|
2018
|
1864 |
6PB |
p. 2304-2314
|
artikel
|
| 4 |
Coexpression network analysis identifies transcriptional modules associated with genomic alterations in neuroblastoma
|
Yang, Liulin
|
|
2018
|
1864 |
6PB |
p. 2341-2348
|
artikel
|
| 5 |
Distinguishing three subtypes of hematopoietic cells based on gene expression profiles using a support vector machine
|
Zhang, Yu-Hang
|
|
2018
|
1864 |
6PB |
p. 2255-2265
|
artikel
|
| 6 |
Editorial Board
|
|
|
2018
|
1864 |
6PB |
p. ii
|
artikel
|
| 7 |
Identification of genes related to proliferative diabetic retinopathy through RWR algorithm based on protein–protein interaction network
|
Zhang, Jian
|
|
2018
|
1864 |
6PB |
p. 2369-2375
|
artikel
|
| 8 |
Identification of human circadian genes based on time course gene expression profiles by using a deep learning method
|
Cui, Peng
|
|
2018
|
1864 |
6PB |
p. 2274-2283
|
artikel
|
| 9 |
Identification of the functional alteration signatures across different cancer types with support vector machine and feature analysis
|
Wang, ShaoPeng
|
|
2018
|
1864 |
6PB |
p. 2218-2227
|
artikel
|
| 10 |
Inferring anatomical therapeutic chemical (ATC) class of drugs using shortest path and random walk with restart algorithms
|
Chen, Lei
|
|
2018
|
1864 |
6PB |
p. 2228-2240
|
artikel
|
| 11 |
Integrated case-control and somatic-germline interaction analyses of melanoma susceptibility genes
|
Yu, Yao
|
|
2018
|
1864 |
6PB |
p. 2247-2254
|
artikel
|
| 12 |
Metabolic modeling helps interpret transcriptomic changes during malaria
|
Tang, Yan
|
|
2018
|
1864 |
6PB |
p. 2329-2340
|
artikel
|
| 13 |
Network-based method for mining novel HPV infection related genes using random walk with restart algorithm
|
Zhu, Liucun
|
|
2018
|
1864 |
6PB |
p. 2376-2383
|
artikel
|
| 14 |
Predicting and analyzing early wake-up associated gene expressions by integrating GWAS and eQTL studies
|
Li, JiaRui
|
|
2018
|
1864 |
6PB |
p. 2241-2246
|
artikel
|
| 15 |
Prediction of potential drivers connecting different dysfunctional levels in lung adenocarcinoma via a protein–protein interaction network
|
Yuan, Fei
|
|
2018
|
1864 |
6PB |
p. 2284-2293
|
artikel
|
| 16 |
Structure and energetic basis of overrepresented λ light chain in systemic light chain amyloidosis patients
|
Zhao, Jun
|
|
2018
|
1864 |
6PB |
p. 2294-2303
|
artikel
|
| 17 |
Systematic identification of rabbit LncRNAs reveals functional roles in atherosclerosis
|
Li, Jia
|
|
2018
|
1864 |
6PB |
p. 2266-2273
|
artikel
|
| 18 |
Unveiling network-based functional features through integration of gene expression into protein networks
|
Jalili, Mahdi
|
|
2018
|
1864 |
6PB |
p. 2349-2359
|
artikel
|
| 19 |
Whole-exome mutational and transcriptional landscapes of combined hepatocellular cholangiocarcinoma and intrahepatic cholangiocarcinoma reveal molecular diversity
|
Liu, Zhen-Hao
|
|
2018
|
1864 |
6PB |
p. 2360-2368
|
artikel
|
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