22 citations · 28 across the 5 of their papers we have counts for
6 papers
Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies
Uthsav Chitra, Kimberly Ding, Jasper C. H. Lee +1
Anomaly estimation, or the problem of finding a subset of a dataset that differs from the rest of the dataset, is a classic problem in machine learning and data mining. In both the…
Random Walks on Hypergraphs with Edge-Dependent Vertex Weights
Uthsav Chitra, Benjamin J Raphael
Hypergraphs are used in machine learning to model higher-order relationships in data. While spectral methods for graphs are well-established, spectral theory for hypergraphs remain…
A Weighted Exact Test for Mutually Exclusive Mutations in Cancer
Mark D. M. Leiserson, Matthew A. Reyna, Benjamin J. Raphael
The somatic mutations in the pathways that drive cancer development tend to be mutually exclusive across tumors, providing a signal for distinguishing driver mutations from a large…
Multi-State Perfect Phylogeny Mixture Deconvolution and Applications to Cancer Sequencing
Mohammed El-Kebir, Gryte Satas, Layla Oesper +1
The reconstruction of phylogenetic trees from mixed populations has become important in the study of cancer evolution, as sequencing is often performed on bulk tumor tissue contain…
CoMEt: A Statistical Approach to Identify Combinations of Mutually Exclusive Alterations in Cancer
Mark D. M. Leiserson, Hsin-Ta Wu, Fabio Vandin +1
Cancer is a heterogeneous disease with different combinations of genetic and epigenetic alterations driving the development of cancer in different individuals. While these alterati…
Accurate Computation of Survival Statistics in Genome-wide Studies
Fabio Vandin, Alexandra Papoutsaki, Benjamin J. Raphael +1
A key challenge in genomics is to identify genetic variants that distinguish patients with different survival time following diagnosis or treatment. While the log-rank test is wide…