| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Application of Computational Biology to Decode Brain Transcriptomes
|
Li, Jie
|
|
|
17 |
4 |
p. 367-380
|
artikel
|
| 2 |
Big Data and the Brain: Peeking at the Future
|
Qu, Hongzhu
|
|
|
17 |
4 |
p. 333-336
|
artikel
|
| 3 |
Brain Banks Spur New Frontiers in Neuropsychiatric Research and Strategies for Analysis and Validation
|
Wang, Le
|
|
|
17 |
4 |
p. 402-414
|
artikel
|
| 4 |
Challenges of Processing and Analyzing Big Data in Mesoscopic Whole-brain Imaging
|
Li, Anan
|
|
|
17 |
4 |
p. 337-343
|
artikel
|
| 5 |
Deciphering Brain Complexity Using Single-cell Sequencing
|
Mu, Quanhua
|
|
|
17 |
4 |
p. 344-366
|
artikel
|
| 6 |
Functional Neuroimaging in the New Era of Big Data
|
Li, Xiang
|
|
|
17 |
4 |
p. 393-401
|
artikel
|
| 7 |
GliomaDB: A Web Server for Integrating Glioma Omics Data and Interactive Analysis
|
Yang, Yadong
|
|
|
17 |
4 |
p. 465-471
|
artikel
|
| 8 |
How Big Data and High-performance Computing Drive Brain Science
|
Chen, Shanyu
|
|
|
17 |
4 |
p. 381-392
|
artikel
|
| 9 |
Identification of Cognitive Dysfunction in Patients with T2DM Using Whole Brain Functional Connectivity
|
Liu, Zhenyu
|
|
|
17 |
4 |
p. 441-452
|
artikel
|
| 10 |
Machine Learning to Detect Alzheimer’s Disease from Circulating Non-coding RNAs
|
Ludwig, Nicole
|
|
|
17 |
4 |
p. 430-440
|
artikel
|
| 11 |
PsyMuKB: An Integrative De Novo Variant Knowledge Base for Developmental Disorders
|
Lin, Guan Ning
|
|
|
17 |
4 |
p. 453-464
|
artikel
|
| 12 |
Translational Informatics for Parkinson’s Disease: from Big Biomedical Data to Small Actionable Alterations
|
Shen, Bairong
|
|
|
17 |
4 |
p. 415-429
|
artikel
|
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