Kishan K C
Title
Cited by
Cited by
Year
GNE: A deep learning framework for gene network inference by aggregating biological information
K KC, R Li, F Cui, Q Yu, A Haake
BMC Systems Biology, 2019
212019
Histopathological distinction of non-invasive and invasive bladder cancers using machine learning approaches
PN Yin, K KC, S Wei, Q Yu, R Li, AR Haake, H Miyamoto, F Cui
BMC medical informatics and decision making 20 (1), 1-11, 2020
52020
Machine learning predicts nucleosome binding modes of transcription factors
K KC, SK Subramanya, R Li, F Cui
BMC Bioinformatics 22 (1), 1471-2105, 2021
2021
Predicting Biomedical Interactions with Higher-Order Graph Convolutional Networks
K KC, R Li, F Cui, A Haake
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021
2021
Interpretable Structured Learning with Sparse Gated Sequence Encoder for Protein-Protein Interaction Prediction
K KC, F Cui, AR Haake, R Li
2020 25th International Conference on Pattern Recognition (ICPR), 7126-7133, 2021
2021
Predicting Biomedical Interactions with Higher-Order Graph Convolutional Networks.
K KC, R Li, F Cui, AR Haake
CoRR, 2020
2020
(Poster) Learning topology-preserving embedding for gene interaction networks
K KC, R Li, F Cui, AR Haake
17th European Conference on Computational Biology (Poster), 2018
2018
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