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09/09/2022
Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes
In this paper, we propose a sample complexity bound for learning a simpl...
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08/05/2022
Isoform Function Prediction Using Deep Neural Network
Isoforms are mRNAs produced from the same gene site in the phenomenon ca...
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11/02/2021
Distributed Sparse Feature Selection in Communication-Restricted Networks
This paper aims to propose and theoretically analyze a new distributed s...
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03/29/2019
Private Shotgun DNA Sequencing: A Structured Approach
Current techniques in sequencing a genome allow a service provider (e.g....
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12/26/2018
Structure Learning of Sparse GGMs over Multiple Access Networks
A central machine is interested in estimating the underlying structure o...
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11/18/2018
Information Theoretic Bounds on Optimal Worst-case Error in Binary Mixture Identification
Identification of latent binary sequences from a pool of noisy observati...
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11/18/2018
Information Theoretic Bound on Optimal Worst-case Error in Binary Mixture Identification
Identification of latent binary sequences from a pool of noisy observati...
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09/21/2018
Learning of Tree-Structured Gaussian Graphical Models on Distributed Data under Communication Constraints
In this paper, learning of tree-structured Gaussian graphical models fro...
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08/10/2018
Genome-Wide Association Studies: Information Theoretic Limits of Reliable Learning
In the problems of Genome-Wide Association Study (GWAS), the objective i...
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07/14/2018
On the Identifiability of Finite Mixtures of Finite Product Measures
The problem of identifiability of finite mixtures of finite product meas...
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06/13/2018
Cell Identity Codes: Understanding Cell Identity from Gene Expression Profiles using Deep Neural Networks
Understanding cell identity is an important task in many biomedical area...
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05/07/2017
