2 citations · 3 across the 5 of their papers we have counts for
7 papers
Experimental design for causal query estimation in partially observed biomolecular networks
Sara Mohammad-Taheri, Vartika Tewari, Rohan Kapre +5
Estimating a causal query from observational data is an essential task in the analysis of biomolecular networks. Estimation takes as input a network topology, a query estimation me…
Leveraging Structured Biological Knowledge for Counterfactual Inference: a Case Study of Viral Pathogenesis
Jeremy Zucker, Kaushal Paneri, Sara Mohammad-Taheri +8
Counterfactual inference is a useful tool for comparing outcomes of interventions on complex systems. It requires us to represent the system in form of a structural causal model, c…
New mixture models for decoy-free false discovery rate estimation in mass-spectrometry proteomics
Yisu Peng, Shantanu Jain, Yong Fuga Li +4
Motivation: Accurate estimation of false discovery rate (FDR) of spectral identification is a central problem in mass spectrometry-based proteomics. Over the past two decades, targ…
Investigating usability of MSstatsQC software
Sara Mohammad Taheri, Omkar Terse, Eralp Dogu +2
MSstatsQC [3] is an open-source software that provides longitudinal system suitability monitoring tools in the form of control charts for proteomic experiments. It includes simulta…
FSE/CACM Rebuttal: Correcting A Large-Scale Study of Programming Languages and Code Quality in GitHub
Emery D. Berger, Petr Maj, Olga Vitek +1
Ray, Devanbu and Filkov issued a rebuttal of our TOPLAS paper "On the Impact of Programming Languages on Code Quality: A Reproduction Study". Our paper reproduced "A Large-Scale St…
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems
Robert Osazuwa Ness, Kaushal Paneri, Olga Vitek
This manuscript contributes a general and practical framework for casting a Markov process model of a system at equilibrium as a structural causal model, and carrying out counterfa…