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Christopher Hendra
Christopher Hendra
PhD Student, Institute of Data Science, National University of Singapore
Verifierad e-postadress på u.nus.edu
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Identification of differential RNA modifications from nanopore direct RNA sequencing with xPore
PN Pratanwanich, F Yao, Y Chen, CWQ Koh, YK Wan, C Hendra, P Poon, ...
Nature biotechnology 39 (11), 1394-1402, 2021
1742021
Detection of m6A from direct RNA sequencing using a multiple instance learning framework
C Hendra, PN Pratanwanich, YK Wan, WSS Goh, A Thiery, J Göke
Nature methods 19 (12), 1590-1598, 2022
832022
A systematic benchmark of Nanopore long read RNA sequencing for transcript level analysis in human cell lines
Y Chen, NM Davidson, YK Wan, H Patel, F Yao, HM Low, C Hendra, ...
BioRxiv, 2021.04. 21.440736, 2021
592021
Beyond sequencing: machine learning algorithms extract biology hidden in Nanopore signal data
YK Wan, C Hendra, PN Pratanwanich, J Göke
Trends in Genetics 38 (3), 246-257, 2022
572022
N-glycan profiles of acute myocardial infarction patients reveal potential biomarkers for diagnosis, severity assessment and treatment monitoring
SY Lim, C Hendra, XH Yeo, XY Tan, BH Ng, AKC Laserna, SH Tan, ...
Glycobiology 32 (6), 469-482, 2022
72022
N6-methyl adenosine from individual direct RNA
C Hendra, J Göke
nature methods 19, 1530-1531, 2022
12022
Signal to Sequence Attention-Based Multiple Instance Network for Segmentation Free Inference of RNA Modifications
C Hendra, AH Thiery, J Goeke
2022
DEEP MULTIPLE INSTANCE LEARNING ON BIOLOGICAL DATA
C HENDRA
2022
Extracting Part of Signal Representation from Direct RNA Squiggle for Modification Detection
C Hendra, J Göke, A Thiery
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Artiklar 1–9