| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
AAPred-CNN: Accurate predictor based on deep convolution neural network for identification of anti-angiogenic peptides
|
Lin, Changhang
|
|
|
204 |
C |
p. 442-448
|
artikel
|
| 2 |
Action and function of helicases on RNA G-quadruplexes
|
Caterino, Marco
|
|
|
204 |
C |
p. 110-125
|
artikel
|
| 3 |
Adversarial learning for semi-supervised pediatric sleep staging with single-EEG channel
|
Li, Yamei
|
|
|
204 |
C |
p. 84-91
|
artikel
|
| 4 |
A federated learning method for real-time emotion state classification from multi-modal streaming
|
Nandi, Arijit
|
|
|
204 |
C |
p. 340-347
|
artikel
|
| 5 |
A near-infrared emitted fluorescence probe for the detection of biosulfite in live zebrafish, mouse and real food samples
|
Shang, Zhuye
|
|
|
204 |
C |
p. 47-54
|
artikel
|
| 6 |
A 70‑RNA model based on SVR and RFE for predicting the pancreatic cancer clinical prognosis
|
Chen, Xu
|
|
|
204 |
C |
p. 278-285
|
artikel
|
| 7 |
A transformer-based multi-features fusion model for prediction of conversion in mild cognitive impairment
|
Zheng, Guowei
|
|
|
204 |
C |
p. 241-248
|
artikel
|
| 8 |
Biochemical analysis of DNA synthesis blockage by G-quadruplex structure and bypass facilitated by a G4-resolving helicase
|
Sommers, Joshua A.
|
|
|
204 |
C |
p. 207-214
|
artikel
|
| 9 |
Characterized the diversity of ABCB1 subtypes in immunogenomic landscape for predicting the drug response in breast cancer
|
Chi, Meng
|
|
|
204 |
C |
p. 223-233
|
artikel
|
| 10 |
Decoding selective auditory attention with EEG using a transformer model
|
Xu, Zihao
|
|
|
204 |
C |
p. 410-417
|
artikel
|
| 11 |
DeepFusion: A deep learning based multi-scale feature fusion method for predicting drug-target interactions
|
Song, Tao
|
|
|
204 |
C |
p. 269-277
|
artikel
|
| 12 |
Deep learning based object tracking for 3D microstructure reconstruction
|
Ma, Boyuan
|
|
|
204 |
C |
p. 172-178
|
artikel
|
| 13 |
Deep6mAPred: A CNN and Bi-LSTM-based deep learning method for predicting DNA N6-methyladenosine sites across plant species
|
Tang, Xingyu
|
|
|
204 |
C |
p. 142-150
|
artikel
|
| 14 |
Deep transformers and convolutional neural network in identifying DNA N6-methyladenine sites in cross-species genomes
|
Le, Nguyen Quoc Khanh
|
|
|
204 |
C |
p. 199-206
|
artikel
|
| 15 |
Detection of pediatric obstructive sleep apnea using a multilayer perceptron model based on single-channel oxygen saturation or clinical features
|
Wu, Yunxiao
|
|
|
204 |
C |
p. 361-367
|
artikel
|
| 16 |
Determination of rate constants for conformational changes of RNA helicases by single-molecule FRET TIRF microscopy
|
Chakraborty, Anirban
|
|
|
204 |
C |
p. 428-441
|
artikel
|
| 17 |
Determining translocation orientations of nucleic acid helicases
|
Perera, Himasha M.
|
|
|
204 |
C |
p. 160-171
|
artikel
|
| 18 |
dPromoter-XGBoost: Detecting promoters and strength by combining multiple descriptors and feature selection using XGBoost
|
Li, Hongfei
|
|
|
204 |
C |
p. 215-222
|
artikel
|
| 19 |
Editorial Board
|
|
|
|
204 |
C |
p. ii
|
artikel
|
| 20 |
Exploration of cortical inhibition and habituation in insomnia: Based on CNV and EEG
|
Zhang, Xiao
|
|
|
204 |
C |
p. 73-83
|
artikel
|
| 21 |
External validation of a shortened screening tool using individual participant data meta-analysis: A case study of the Patient Health Questionnaire-Dep-4
|
Harel, Daphna
|
|
|
204 |
C |
p. 300-311
|
artikel
|
| 22 |
GC6mA-Pred: A deep learning approach to identify DNA N6-methyladenine sites in the rice genome
|
Cai, Jianhua
|
|
|
204 |
C |
p. 14-21
|
artikel
|
| 23 |
Genetic and biochemical interactions of yeast DNA helicases
|
Nickens, David G.
|
|
|
204 |
C |
p. 234-240
|
artikel
|
| 24 |
Genome-wide investigations on regulatory functions of RECQ1 helicase
|
Debnath, Subrata
|
|
|
204 |
C |
p. 263-268
|
artikel
|
| 25 |
HPE-GCN: Predicting efficacy of tonic formulae via graph convolutional networks integrating traditionally defined herbal properties
|
Liu, Jiajun
|
|
|
204 |
C |
p. 101-109
|
artikel
|
| 26 |
Insight into the biochemical mechanism of DNA helicases provided by bulk-phase and single-molecule assays
|
Bianco, Piero R.
|
|
|
204 |
C |
p. 348-360
|
artikel
|
| 27 |
Intervening on psychopathology networks: Evaluating intervention targets through simulations
|
Lunansky, Gabriela
|
|
|
204 |
C |
p. 29-37
|
artikel
|
| 28 |
Kinetics measurements of G-quadruplex binding and unfolding by helicases
|
Chang-Gu, Bruce
|
|
|
204 |
C |
p. 1-13
|
artikel
|
| 29 |
Latent variable mixture models to address heterogeneity in patient-reported outcome data
|
Lix, Lisa M.
|
|
|
204 |
C |
p. 151-159
|
artikel
|
| 30 |
Linear linking for related traits (LLRT): A novel method for the harmonization of cognitive domains with no or few common items
|
Nichols, Emma L.
|
|
|
204 |
C |
p. 179-188
|
artikel
|
| 31 |
Mapping of sister chromatid exchange events and genome alterations in single cells
|
Hamadeh, Zeid
|
|
|
204 |
C |
p. 64-72
|
artikel
|
| 32 |
MDL-CPI: Multi-view deep learning model for compound-protein interaction prediction
|
Wei, Lesong
|
|
|
204 |
C |
p. 418-427
|
artikel
|
| 33 |
Measuring the impact of cofactors on RNA helicase activities
|
Venus, Sarah
|
|
|
204 |
C |
p. 376-385
|
artikel
|
| 34 |
Model-based assessment of cardiopulmonary autonomic regulation in paced deep breathing
|
Cui, Jiajia
|
|
|
204 |
C |
p. 312-318
|
artikel
|
| 35 |
Modeling repeated self-reported outcome data: A continuous-time longitudinal Item Response Theory model
|
Proust-Lima, Cécile
|
|
|
204 |
C |
p. 386-395
|
artikel
|
| 36 |
Mouse4mC-BGRU: Deep learning for predicting DNA N4-methylcytosine sites in mouse genome
|
Jin, Junru
|
|
|
204 |
C |
p. 258-262
|
artikel
|
| 37 |
MSFF-CDCGAN: A novel method to predict RNA secondary structure based on Generative Adversarial Network
|
Yuan, Shuai
|
|
|
204 |
C |
p. 368-375
|
artikel
|
| 38 |
Multi-level analysis of intrinsically disordered protein docking methods
|
Verburgt, Jacob
|
|
|
204 |
C |
p. 55-63
|
artikel
|
| 39 |
Near-infrared fluorescent probe based on rhodamine derivative for detection of NADH in live cells
|
Zhang, Yibin
|
|
|
204 |
C |
p. 22-28
|
artikel
|
| 40 |
Performance of a Rasch-based method for group comparisons of longitudinal change and response shift at the item level in PRO data: A simulation study
|
Blanchin, Myriam
|
|
|
204 |
C |
p. 327-339
|
artikel
|
| 41 |
Plant6mA: A predictor for predicting N6-methyladenine sites with lightweight structure in plant genomes
|
Shi, Hua
|
|
|
204 |
C |
p. 126-131
|
artikel
|
| 42 |
Promoter prediction in nannochloropsis based on densely connected convolutional neural networks
|
Wei, Pi-Jing
|
|
|
204 |
C |
p. 38-46
|
artikel
|
| 43 |
Resources for computational prediction of intrinsic disorder in proteins
|
Kurgan, Lukasz
|
|
|
204 |
C |
p. 132-141
|
artikel
|
| 44 |
Single molecule methods for studying CRISPR Cas9-induced DNA unwinding
|
Okafor, Ikenna C.
|
|
|
204 |
C |
p. 319-326
|
artikel
|
| 45 |
StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides
|
Charoenkwan, Phasit
|
|
|
204 |
C |
p. 189-198
|
artikel
|
| 46 |
Structure-function analysis of DEAD-box helicase DDX43
|
Singh, Ravi Shankar
|
|
|
204 |
C |
p. 286-299
|
artikel
|
| 47 |
Study on adherence to positive airway pressure treatment for patients with obstructive sleep apnea using real-world big data in a telemedicine management system
|
Yi, Huijie
|
|
|
204 |
C |
p. 92-100
|
artikel
|
| 48 |
Toward a rigorous assessment of the statistical performances of methods to estimate the Minimal Important Difference of Patient-Reported Outcomes: A protocol for a large-scale simulation study
|
Vanier, Antoine
|
|
|
204 |
C |
p. 396-409
|
artikel
|
| 49 |
Using DMS-MaPseq to uncover the roles of DEAD-box proteins in ribosome assembly
|
Liu, Xin
|
|
|
204 |
C |
p. 249-257
|
artikel
|
Tijdschrift beschrijving