User profiles for Caroline Uhler
 | Caroline UhlerMassachusetts Institute of Technology Verified email at mit.edu Cited by 5005 |
Geometry of the faithfulness assumption in causal inference
Many algorithms for inferring causality rely heavily on the faithfulness assumption. The main
justification for imposing this assumption is that the set of unfaithful distributions has …
justification for imposing this assumption is that the set of unfaithful distributions has …
[HTML][HTML] Multi-domain translation between single-cell imaging and sequencing data using autoencoders
The development of single-cell methods for capturing different data modalities including
imaging and sequencing has revolutionized our ability to identify heterogeneous cell states. …
imaging and sequencing has revolutionized our ability to identify heterogeneous cell states. …
[HTML][HTML] A complete Neandertal mitochondrial genome sequence determined by high-throughput sequencing
A complete mitochondrial (mt) genome sequence was reconstructed from a 38,000 year-old
Neandertal individual with 8341 mtDNA sequences identified among 4.8 Gb of DNA …
Neandertal individual with 8341 mtDNA sequences identified among 4.8 Gb of DNA …
Multivariate Gaussians, semidefinite matrix completion, and convex algebraic geometry
B Sturmfels, C Uhler - Annals of the Institute of Statistical Mathematics, 2010 - Springer
We study multivariate normal models that are described by linear constraints on the inverse
of the covariance matrix. Maximum likelihood estimation for such models leads to the …
of the covariance matrix. Maximum likelihood estimation for such models leads to the …
Characterizing and learning equivalence classes of causal dags under interventions
We consider the problem of learning causal DAGs in the setting where both observational
and interventional data is available. This setting is common in biology, where gene regulatory …
and interventional data is available. This setting is common in biology, where gene regulatory …
Total positivity in Markov structures
We discuss properties of distributions that are multivariate totally positive of order two (MTP2)
related to conditional independence. In particular, we show that any independence model …
related to conditional independence. In particular, we show that any independence model …
Regulation of genome organization and gene expression by nuclear mechanotransduction
C Uhler, GV Shivashankar - Nature reviews Molecular cell biology, 2017 - nature.com
It is well established that cells sense chemical signals from their local microenvironment
and transduce them to the nucleus to regulate gene expression programmes. Although a …
and transduce them to the nucleus to regulate gene expression programmes. Although a …
Wide and deep neural networks achieve consistency for classification
While neural networks are used for classification tasks across domains, a long-standing
open problem in machine learning is determining whether neural networks trained using …
open problem in machine learning is determining whether neural networks trained using …
Linear causal disentanglement via interventions
Causal disentanglement seeks a representation of data involving latent variables that are
related via a causal model. A representation is identifiable if both the latent model and the …
related via a causal model. A representation is identifiable if both the latent model and the …
[HTML][HTML] Scalable privacy-preserving data sharing methodology for genome-wide association studies
The protection of privacy of individual-level information in genome-wide association study (GWAS)
databases has been a major concern of researchers following the publication of “an …
databases has been a major concern of researchers following the publication of “an …