155 citations
- Agency for Science, Technology and ResearchSG2 papers
- Meta (United States)US2 papers
- National University of SingaporeSG2 papers
- University of PennsylvaniaUS2 papers
- Bioinformatics InstituteSG1 paper
- Centrum Wiskunde & InformaticaNL1 paper
- Harvard UniversityUS1 paper
- Harvard University PressUS1 paper
- Nankai UniversityCN1 paper
- Nanyang Technological UniversitySG1 paper
- Peking UniversityCN1 paper
- Philadelphia UniversityUS1 paper
12 papers
RiNALMo: General-Purpose RNA Language Models Can Generalize Well on Structure Prediction Tasks
Rafael Josip Penić, Tin Vlašić, Roland G. Huber +2
While RNA has recently been recognized as an interesting small-molecule drug target, many challenges remain to be addressed before we take full advantage of it. This emphasizes the…
Gilbert-Varshamov Bound for Codes in Metric using Multivariate Analytic Combinatorics
Keshav Goyal, Duc Tu Dao, Mladen Kovačević +1
Analytic combinatorics in several variables refers to a suite of tools that provide sharp asymptotic estimates for certain combinatorial quantities. In this paper, we apply these t…
Heterologous autoimmunity and prokaryotic immune defense
Hanrong Chen, Andreas Mayer, Vijay Balasubramanian
Some prokaryotes possess CRISPR-Cas systems that provide adaptive immunity to viruses guided by DNA segments called spacers acquired from invading phage. However, the patchy incide…
A faster and more accurate algorithm for calculating population genetics statistics requiring sums of Stirling numbers of the first kind
Swaine L. Chen, Nico M. Temme
Stirling numbers of the first kind are used in the derivation of several population genetics statistics, which in turn are useful for testing evolutionary hypotheses directly from…
Identification and Inference for Marginal Average Treatment Effect on the Treated With an Instrumental Variable
Lan Liu, Wang Miao, Baoluo Sun +2
In observational studies, treatments are typically not randomized and therefore estimated treatment effects may be subject to confounding bias. The instrumental variable (IV) desig…
Phen-Gen: combining phenotype and genotype to analyze rare disorders
Asif Javed, Saloni Agrawal, Pauline C. Ng
We introduce Phen-Gen, a method which combines patient disease symptoms and sequencing data with prior domain knowledge to identify the causative gene(s) for rare disorders.