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Rafael Peres da Silva
Observed names:
Da Silva, Rafael Peres,
Rafael Peres,
Rafael Peres Da Silva,
Rafaela B.J. Silva,
Renata B. Silva,
da Silva, Rafael Peres
show all 6
Institutions:
Agency for Science, Technology and Research,
Genome Institute of Singapore
Observed institutions:
Agency for Science, Technology and Research,
Universidade Federal do Rio de Janeiro,
Universidade Federal Fluminense,
National University of Singapore,
Instituto de Biofísica Carlos Chagas Filho,
Genome Institute of Singapore
show all 6
ORCID:
0000-0002-0854-1595
Observed ORCID:
0000-0002-0854-1595
OpenAlex ID:
A5058488564
Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures
2021
·
Chayaporn Suphavilai
, Shumei Chia
, et al.
·
Genome Medicine
·
58
PDF
Frontal Alpha Asymmetry and Theta Oscillations Associated With Information Sharing Intention
2018
·
Nastassja L. Fischer
, Rafael Peres
, et al.
·
Frontiers in Behavioral Neuroscience
·
44
PDF
TUGDA: task uncertainty guided domain adaptation for robust generalization of cancer drug response prediction from in vitro to in vivo settings
2021
·
Rafael Peres da Silva
, Chayaporn Suphavilai
, et al.
·
Bioinformatics
·
26
PDF
Leveraging wastewater sequencing to strengthen global public health surveillance
2025
·
Victor Gordeev
, Martin Hölzer
, et al.
·
BMC Global and Public Health
·
11
Criteria for choosing the number of dimensions in a principal component analysis: An empirical assessment
2020
·
Renata B. Silva
, Daniel de Oliveira
, et al.
·
10
PDF
CAN-Scan: A multi-omic phenotype-driven precision oncology platform identifies prognostic biomarkers of therapy response for colorectal cancer
2025
·
Shumei Chia
, Justine Jia Wen Seow
, et al.
·
Cell Reports Medicine
·
9
MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes
2024
·
Rafael Peres da Silva
, Chayaporn Suphavilai
, et al.
·
BMC Bioinformatics
·
9
PDF
Neuronal response properties across cytochrome oxidase stripes in primate V2
2018
·
Rafael Peres
, Juliana G. M. Soares
, et al.
·
The Journal of Comparative Neurology
·
8
Direct high-throughput deconvolution of non-canonical bases via nanopore sequencing and bootstrapped learning
2025
·
Mauricio Perez
, Michiko Kimoto
, et al.
·
Nature Communications
·
7
PDF
Bidirectional LSTM with a Context Input Window for Named Entity Recognition in Tweets
2017
·
Rafael Peres
, Diego Esteves
, et al.
·
ACM International Conference on Knowledge Capture (K-CAP)
·
7
Named Entity Recognition in Twitter Using Images and Text
2018
·
Diego Esteves
, Rafael Peres
, et al.
·
Lecture notes in computer science
·
6
PDF
Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning (Student Abstract)
2021
·
Rafael Peres da Silva
, Chayaporn Suphavilai
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
1
PDF
Usabilidade em aplicativos: avaliação e proposições para o aplicativo do SIGAA
2025
·
Maria A.C. Pacheco
, Maria F.T. Macedo
, et al.
PDF
Direct high-throughput deconvolution of unnatural bases via nanopore sequencing and bootstrapped learning
2024
·
Mauricio Lisboa Perez
, Michiko Kimoto
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
Additional file 2 of Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures
2021
·
Suphavilai, Chayaporn
, Chia, Shumei
, et al.
·
Figshare
Additional file 6 of Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures
2021
·
Suphavilai, Chayaporn
, Chia, Shumei
, et al.
·
Figshare
Additional file 3 of Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures
2021
·
Suphavilai, Chayaporn
, Chia, Shumei
, et al.
·
Figshare
Additional file 7 of Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures
2021
·
Suphavilai, Chayaporn
, Chia, Shumei
, et al.
·
Figshare
Additional file 4 of Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures
2021
·
Suphavilai, Chayaporn
, Chia, Shumei
, et al.
·
Figshare
Additional file 5 of Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures
2021
·
Suphavilai, Chayaporn
, Chia, Shumei
, et al.
·
Figshare
Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning
2020
·
da Silva, Rafael Peres
, Suphavilai, Chayaporn
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
21
Citation count:
196
H-index:
8
I10-index:
5
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