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ORCIDDinithi Sumanaweera
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2020 – today
- 2022
[c4]Vidhi Lalchand, Aditya Ravuri, Emma Dann, Natsuhiko Kumasaka, Dinithi Sumanaweera, Rik G. H. Lindeboom, Shaista Madad, Sarah A. Teichmann, Neil D. Lawrence:
Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs. MLCB 2022: 46-60- [i2]Vidhi Lalchand, Aditya Ravuri, Emma Dann, Natsuhiko Kumasaka, Dinithi Sumanaweera, Rik G. H. Lindeboom, Shaista Madad, Sarah A. Teichmann, Neil D. Lawrence
:
Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs. CoRR abs/2209.06716 (2022) - 2021
- [c3]Sandun Rajapaksa, Dinithi Sumanaweera, Maria Garcia de la Banda, Peter J. Stuckey, David Abramson, Lloyd Allison, Arthur M. Lesk, Arun Siddharth Konagurthu:
On identifying statistical redundancy at the level of amino acid subsequences. BIBM 2021: 64-71 - 2020
- [i1]Dinithi Sumanaweera, Lloyd Allison, Arun Siddharth Konagurthu:
Bridging the Gaps in Statistical Models of Protein Alignment. CoRR abs/2010.00855 (2020)
2010 – 2019
- 2019
- [j1]Dinithi Sumanaweera, Lloyd Allison, Arun Siddharth Konagurthu:
Statistical compression of protein sequences and inference of marginal probability landscapes over competing alignments using finite state models and Dirichlet priors. Bioinform. 35(14): i360-i369 (2019) - 2018
- [c2]Dinithi Sumanaweera, Lloyd Allison, Arun Siddharth Konagurthu:
The Bits Between Proteins. DCC 2018: 177-186 - 2016
- [c1]Dinithi Sumanaweera, Amal Shehan Perera:
An Ensemble Based in Silico Prediction of Saccharomyces Cerevisiae Proteins under Mitochondrion Organization. BIBE 2016: 13-20
Coauthor Index
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