nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A rectified factor network based biclustering method for detecting cancer-related coding genes and miRNAs, and their interactions
|
Su, Lingtao |
|
|
166 |
C |
p. 22-30 |
artikel |
2 |
Computer-aided detection of mass in digital breast tomosynthesis using a faster region-based convolutional neural network
|
Fan, Ming |
|
|
166 |
C |
p. 103-111 |
artikel |
3 |
Deep learning in bioinformatics
|
Wang, Wei |
|
|
166 |
C |
p. 1-3 |
artikel |
4 |
Deep learning in bioinformatics: Introduction, application, and perspective in the big data era
|
Li, Yu |
|
|
166 |
C |
p. 4-21 |
artikel |
5 |
Deep-Resp-Forest: A deep forest model to predict anti-cancer drug response
|
Su, Ran |
|
|
166 |
C |
p. 91-102 |
artikel |
6 |
Editorial Board
|
|
|
|
166 |
C |
p. ii |
artikel |
7 |
Enhancer prediction with histone modification marks using a hybrid neural network model
|
Lim, Aeran |
|
|
166 |
C |
p. 48-56 |
artikel |
8 |
Exploring semi-supervised variational autoencoders for biomedical relation extraction
|
Zhang, Yijia |
|
|
166 |
C |
p. 112-119 |
artikel |
9 |
FactorNet: A deep learning framework for predicting cell type specific transcription factor binding from nucleotide-resolution sequential data
|
Quang, Daniel |
|
|
166 |
C |
p. 40-47 |
artikel |
10 |
Hybrid model for efficient prediction of poly(A) signals in human genomic DNA
|
Albalawi, Fahad |
|
|
166 |
C |
p. 31-39 |
artikel |
11 |
IVS2vec: A tool of Inverse Virtual Screening based on word2vec and deep learning techniques
|
Zhang, Haiping |
|
|
166 |
C |
p. 57-65 |
artikel |
12 |
Machine learning polymer models of three-dimensional chromatin organization in human lymphoblastoid cells
|
Al Bkhetan, Ziad |
|
|
166 |
C |
p. 83-90 |
artikel |
13 |
MetaPheno: A critical evaluation of deep learning and machine learning in metagenome-based disease prediction
|
LaPierre, Nathan |
|
|
166 |
C |
p. 74-82 |
artikel |
14 |
Unsupervised classification of multi-omics data during cardiac remodeling using deep learning
|
Chung, Neo Christopher |
|
|
166 |
C |
p. 66-73 |
artikel |