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Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Proteins Engineering & Materials Science
Protein Mathematics
Reinforcement learning Engineering & Materials Science
Genes Engineering & Materials Science
Graphical Models Mathematics
RNA Engineering & Materials Science
Protein folding Engineering & Materials Science
Genome Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2009 2019

Accelerating nonconvex learning via replica exchange Langevin diffusion

Chen, Y., Chen, J., Dong, J., Peng, J. & Wang, Z., Jan 1 2019.

Research output: Contribution to conferencePaper

learning
Temperature
divergence
exploitation
regime

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

AstraZeneca-Sanger Drug Combination DREAM Consortium, Dec 1 2019, In : Nature communications. 10, 1, 2674.

Research output: Contribution to journalArticle

Open Access
Pharmacogenetics
Drug Combinations
drugs
cancer
predictions

HetespaceyWalk: A heterogeneous Spacey random walk for heterogeneous information network embedding

He, Y., Song, Y., Li, J., Ji, C., Peng, J. & Peng, H., Nov 3 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 639-648 10 p. (International Conference on Information and Knowledge Management, Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Information networks
Random walk
Markov chain
Node
Leverage

Identification of pathways associated with chemosensitivity through network embedding

Wang, S., Huang, E., Cairns, J., Peng, J., Wang, L. & Sinha, S., Mar 2019, In : PLoS computational biology. 15, 3, e1006864.

Research output: Contribution to journalArticle

Open Access
Pathway
Genes
Gene
gene
genes

Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

Cai, Y., Guan, K., Lobell, D., Potgieter, A. B., Wang, S., Peng, J., Xu, T., Asseng, S., Zhang, Y., You, L. & Peng, B., Aug 15 2019, In : Agricultural and Forest Meteorology. 274, p. 144-159 16 p.

Research output: Contribution to journalArticle

artificial intelligence
wheat
climate
prediction
remote sensing