Gesine Reinert

发表

Identifying networks with common organizational principles

Gesine Reinert, Charlotte M. Deane, Anatol E. Wegner, 2017, J. Complex Networks.

Comparison of large networks with sub-sampling strategies

Gesine Reinert, Charlotte M. Deane, Anatol E. Wegner, 2016, Scientific Reports.

Predicting and Validating Protein Interactions Using Network Structure

Gesine Reinert, Charlotte M. Deane, Pao-Yang Chen, 2008, PLoS Comput. Biol..

Measuring rank robustness in scored protein interaction networks

Gesine Reinert, Charlotte M. Deane, Lyuba V. Bozhilova, 2018, BMC Bioinformatics.

The shortest distance in random multi‐type intersection graphs

Gesine Reinert, Andrew D. Barbour, A. Barbour, 2010, Random Struct. Algorithms.

COGENT: evaluating the consistency of gene co-expression networks

Gesine Reinert, Lyuba V. Bozhilova, Charlotte M. Deane, 2020, bioRxiv.

A statistical approach using network structure in the prediction of protein characteristics

Gesine Reinert, Charlotte M. Deane, Pao-Yang Chen, 2007, Bioinform..

Hypergraphs for predicting essential genes using multiprotein complex data

Gesine Reinert, Charlotte M. Deane, Florian Klimm, 2020, bioRxiv.

Mutual information and variants for protein domain-domain contact prediction

Gesine Reinert, Charlotte M Deane, Mireille Gomes, 2012, BMC Research Notes.

Assessment of model fit via network comparison methods based on subgraph counts

Gesine Reinert, Charlotte M. Deane, Luis Ospina-Forero, 2018, J. Complex Networks.

Couplings for normal approximations with Stein's method

Gesine Reinert, G. Reinert, 1997, Microsurveys in Discrete Probability.

Core–periphery structure in directed networks

Gesine Reinert, Marya Bazzi, Mihai Cucuringu, 2020, Proceedings of the Royal Society A.

A nonparametric significance test for sampled networks

Gesine Reinert, Alan Whitmore, Elizabeth Leicht, 2015, Bioinform..

Poisson Process Approximation for Repeats in One Sequence and Its Application to Sequencing by Hybridization

Gesine Reinert, Richard Arratia, 1996, CPM.

Triad-Based Comparison and Signatures of Directed Networks

Gesine Reinert, Xiaochuan Xu, G. Reinert, 2018, COMPLEX NETWORKS.

Correction: Small worlds

Gesine Reinert, Andrew D. Barbour, 2004, Random Struct. Algorithms.

Anomaly Detection in Networks with Application to Financial Transaction Networks pdf

Gesine Reinert, Mihai Cucuringu, Andrew Elliott, 2019, ArXiv.

Sampling bias in systems with structural heterogeneity and limited internal diffusion

Gesine Reinert, Jukka-Pekka Onnela, Neil F. Johnson, 2009 .

Stein's Method for the Beta Distribution and the Pólya-Eggenberger Urn

Gesine Reinert, Larry Goldstein, 2013, J. Appl. Probab..

Poisson Process Approximation for Sequence Repeats and Sequencing by Hybridization

Gesine Reinert, Michael S. Waterman, Richard Arratia, 1996, J. Comput. Biol..

Efficient method for estimating the number of communities in a network

Gesine Reinert, George T. Cantwell, Mark E. J. Newman, 2017, Physical review. E.

Role of mutual information for predicting contact residues in proteins

Gesine Reinert, Charlotte M. Deane, 2012 .

Normal and Compound Poisson Approximations for Pattern Occurrences in NGS Reads

Kai Song, Gesine Reinert, Fengzhu Sun, 2012, J. Comput. Biol..

Alignment-free protein interaction network comparison

Gesine Reinert, Charlotte M. Deane, Waqar Ali, 2014, Bioinform..

The Power of Detecting Enriched Patterns: An HMM Approach

Gesine Reinert, Shih-Yen Ku, Fengzhu Sun, 2010, J. Comput. Biol..

Compound Poisson and Poisson Process Approximations for Occurrences of Multiple Words in Markov Chains

Gesine Reinert, Sophie Schbath, G. Reinert, 1998, J. Comput. Biol..

Alignment-Free Sequence Analysis and Applications.

Gesine Reinert, Fengzhu Sun, Jie Ren, 2018, Annual review of biomedical data science.

New developments of alignment-free sequence comparison: measures, statistics and next-generation sequencing

Kai Song, Gesine Reinert, Jie Ren, 2014, Briefings Bioinform..

Additional file 1 of Measuring rank robustness in scored protein interaction networks

Gesine Reinert, Charlotte M. Deane, Lyuba V. Bozhilova, 2019 .

CommWalker: correctly evaluating modules in molecular networks in light of annotation bias

Gesine Reinert, Charlotte M. Deane, S. Mason, 2017, Bioinform..

Conditional risk measures in a bipartite market structure

Oliver Kley, Claudia Klüppelberg, Gesine Reinert, 2015, 1510.00616.

Small worlds

Gesine Reinert, Andrew D. Barbour, 2001, Random Struct. Algorithms.

Optimal resource allocation for multicast sessions in multi-hop wireless networks - Discussion

Gesine Reinert, Gaurav Raina, Jon Crowcroft, 2008 .

The Importance of Age and High Degree, in Protein-Protein Interaction Networks

Gesine Reinert, Charlotte M. Deane, Tiago Rito, 2012, J. Comput. Biol..

Robust gene coexpression networks using signed distance correlation

Gesine Reinert, Mariano Beguerisse-Díaz, Lyuba V. Bozhilova, 2020, bioRxiv.

Alignment-Free Sequence Comparison (I): Statistics and Power

Gesine Reinert, Fengzhu Sun, Michael S. Waterman, 2009, J. Comput. Biol..

COGENT: evaluating the consistency of gene co-expression networks.

Gesine Reinert, Javier Pardo-Diaz, Lyuba V Bozhilova, 2020, Bioinformatics.

Bias in Epidemiological Studies of Conflict Mortality

Gesine Reinert, Jukka-Pekka Onnela, Neil F. Johnson, 2006 .

Topological Methods for Characterising Spatial Networks: A Case Study in Tumour Vasculature

Gesine Reinert, Ulrike Tillmann, Heather A Harrington, 2019, 1907.08711.

Deciphering chemotaxis pathways using cross species comparisons

Gesine Reinert, Charlotte M. Deane, Pao-Yang Chen, 2010, BMC Systems Biology.

How threshold behaviour affects the use of subgraphs for network comparison

Gesine Reinert, Charlotte M. Deane, Zi Wang, 2010, Bioinform..

Probabilistic and Statistical Properties of Words: An Overview

Gesine Reinert, Sophie Schbath, Michael S. Waterman, 2000, J. Comput. Biol..

On the Length of the Longest Exact Position Match in a Random Sequence

Gesine Reinert, Michael S. Waterman, 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Inference of Markovian properties of molecular sequences from NGS data and applications to comparative genomics

Kai Song, Gesine Reinert, Jie Ren, 2015, Bioinform..

A bound on the rate of convergence in the central limit theorem for renewal processes under second moment conditions

Gesine Reinert, Ce Yang, G. Reinert, 2018, Journal of Applied Probability.

Alignment-Free Sequence Comparison (II): Theoretical Power of Comparison Statistics

Gesine Reinert, Lin Wan, Fengzhu Sun, 2010, J. Comput. Biol..

Estimating the number of communities in a network

Gesine Reinert, Mark E. J. Newman, M. Newman, 2016, Physical review letters.

Multiple alignment-free sequence comparison

Kai Song, Gesine Reinert, Jie Ren, 2013, Bioinform..

Asymptotic Behaviour of Gossip Processes and Small-World Networks

Gesine Reinert, Andrew D. Barbour, 2013, Advances in Applied Probability.

Protein Interaction Networks and Their Statistical Analysis

Gesine Reinert, Charlotte M. Deane, Waqar Ali, 2011 .

Topology Characterises Tumour Vasculature

Gesine Reinert, Helen M. Byrne, Ruth J. Muschel, 2019 .

A Stein Goodness of fit Test for Exponential Random Graph Models

Gesine Reinert, Wenkai Xu, G. Reinert, 2021, 2103.00580.

Stein’s Method Meets Statistics: A Review of Some Recent Developments

Gesine Reinert, Arthur Gretton, Yvik Swan, 2021 .

Estimating the correlation in network disturbance models

Gesine Reinert, A. D. Barbour, 2021, J. Complex Networks.

Robust gene coexpression networks using signed distance correlation

Gesine Reinert, Charlotte M. Deane, Mariano Beguerisse-Díaz, 2021, Bioinform..

SSSNET: Semi-Supervised Signed Network Clustering pdf

Gesine Reinert, Mihai Cucuringu, Yixuan He, 2021, ArXiv.

Stein's density method for multivariate continuous distributions

Gesine Reinert, Yvik Swan, Guillaume Mijoule, 2021 .

DIGRAC: Digraph Clustering with Flow Imbalance pdf

Gesine Reinert, Mihai Cucuringu, Yixuan He, 2021, ArXiv.

DIGRAC: Digraph Clustering Based on Flow Imbalance

Gesine Reinert, Mihai Cucuringu, Yixuan He, 2021 .

Bounds for the chi-square approximation of Friedman's statistic by Stein's method

Gesine Reinert, Robert E. Gaunt, 2021 .

Hypergraphs for predicting essential genes using multiprotein complex data

Gesine Reinert, Florian Klimm, Charlotte M Deane, 2021 .

A Stein Goodness-of-test for Exponential Random Graph Models

Gesine Reinert, Wenkai Xu, G. Reinert, 2021, AISTATS.

Lead–lag detection and network clustering for multivariate time series with an application to the US equity market

Gesine Reinert, Mihai Cucuringu, Stefanos Bennett, 2022, Machine Learning.

A Multivariate CLT for Dissociated Sums with Applications to U-Statistics and Random Complexes

Gesine Reinert, Vidit Nanda, Tadas Temvcinas, 2021 .

Total Variation Distance for Poisson Subset Numbers

Gesine Reinert, G. Reinert, L. Goldstein, 2006 .

Invariance Principles for Homogeneous Sums: Universality of Gaussian Wiener Chaos

Gesine Reinert, Ivan Nourdin, Giovanni Peccati, 2009, 0904.1153.

Distances between nested densities and a measure of the impact of the prior in Bayesian statistics

Gesine Reinert, Yvik Swan, Christophe Ley, 2015 .

Local Network Patterns in Protein-Protein Interfaces

Gesine Reinert, Charlotte M. Deane, Rebecca Hamer, 2013, PloS one.

New powerful statistics for alignment-free sequence comparison under a pattern transfer model.

Gesine Reinert, Jing Li, Fengzhu Sun, 2011, Journal of theoretical biology.

A Weak Law of Large Numbers for Empirical Measures via Stein's Method

Gesine Reinert, G. Reinert, 1995 .

Poisson approximation of subgraph counts in stochastic block models and a graphon model

Gesine Reinert, Matthew Coulson, Robert E. Gaunt, 2015, 1509.07754.

Second order Poincaré inequalities and CLTs on Wiener space

Gesine Reinert, Ivan Nourdin, Giovanni Peccati, 2008 .

Functional module detection through integration of single-cell RNA sequencing data with protein–protein interaction networks

Gesine Reinert, Charlotte M. Deane, Fang Zhang, 2019, BMC Genomics.

Probabilistic Aspects of Sequence Repeats and Sequencing by Hybridization

Gesine Reinert, Michael S. Waterman, Richard Arratia, 1997 .

Approximating the epidemic curve

Gesine Reinert, A. D. Barbour, A. Barbour, 2013, 1301.3288.