Projects per year
Fingerprint
Dive into the research topics where hyebin song is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Active
-
A shape-constrained approach for non-parametric variance estimation for Markov Chains
Berg, S. (CoPI) & song, H. (PI)
9/1/23 → 8/31/26
Project: Research project
-
Non-covalent Lasso Entanglements in Folded Proteins: Prevalence, Functional Implications, and Evolutionary Significance
Rana, V., Sitarik, I., Petucci, J., Jiang, Y., Song, H. & O'Brien, E. P., Mar 15 2024, In: Journal of Molecular Biology. 436, 6, 168459.Research output: Contribution to journal › Article › peer-review
Open Access -
EFFICIENT SHAPE-CONSTRAINED INFERENCE FOR THE AUTOCOVARIANCE SEQUENCE FROM A REVERSIBLE MARKOV CHAIN
Berg, S. & Song, H., Dec 2023, In: Annals of Statistics. 51, 6, p. 2440-2470 31 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
Inferring protein fitness landscapes from laboratory evolution experiments
D’Costa, S., Hinds, E. C., Freschlin, C. R., Song, H. & Romero, P. A., Mar 2023, In: PLoS computational biology. 19, 3, e1010956.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
Convergence guarantee for the sparse monotone single index model∗
Dai, R., Song, H., Barber, R. F. & Raskutti, G., 2022, In: Electronic Journal of Statistics. 16, 2, p. 4449-4496 48 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Inferring Protein Sequence-Function Relationships with Large-Scale Positive-Unlabeled Learning
Song, H., Bremer, B. J., Hinds, E. C., Raskutti, G. & Romero, P. A., Jan 20 2021, In: Cell Systems. 12, 1, p. 92-101.e8Research output: Contribution to journal › Article › peer-review
Open Access29 Scopus citations