Asger Hobolth

About Asger Hobolth

Asger Hobolth, With an exceptional h-index of 33 and a recent h-index of 22 (since 2020), a distinguished researcher at Aarhus Universitet, specializes in the field of bioinformatics, machine learning, probability theory, statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Maximum likelihood estimation and natural pairwise estimating equations are identical for three sequences and a symmetric 2-state substitution model

TRAILS: Tree reconstruction of ancestry using incomplete lineage sorting

Author Correction: Analyses of non-coding somatic drivers in 2,658 cancer whole genomes

Author Correction: Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing

Model selection and robust inference of mutational signatures using Negative Binomial non-negative matrix factorization

PhaseTypeR: an R package for phase-type distributions in population genetics

Analyses of non-coding somatic drivers in 2,658 cancer whole genomes

Author Correction: Pan-cancer analysis of whole genomes

Asger Hobolth Information

University

Position

Professor Department of Mathematics

Citations(all)

6521

Citations(since 2020)

2901

Cited By

4863

hIndex(all)

33

hIndex(since 2020)

22

i10Index(all)

53

i10Index(since 2020)

36

Email

University Profile Page

Google Scholar

Asger Hobolth Skills & Research Interests

bioinformatics

machine learning

probability theory

statistics

Top articles of Asger Hobolth

Maximum likelihood estimation and natural pairwise estimating equations are identical for three sequences and a symmetric 2-state substitution model

Theoretical Population Biology

2024/4/1

Asger Hobolth
Asger Hobolth

H-Index: 22

Carsten Wiuf
Carsten Wiuf

H-Index: 34

TRAILS: Tree reconstruction of ancestry using incomplete lineage sorting

Plos Genetics

2024/2/8

Asger Hobolth
Asger Hobolth

H-Index: 22

Author Correction: Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing

Nature genetics

2023/6

Model selection and robust inference of mutational signatures using Negative Binomial non-negative matrix factorization

BMC bioinformatics

2023/5/8

Asger Hobolth
Asger Hobolth

H-Index: 22

PhaseTypeR: an R package for phase-type distributions in population genetics

Journal of Open Source Software

2023/2/21

Lars Nørvang Andersen
Lars Nørvang Andersen

H-Index: 6

Asger Hobolth
Asger Hobolth

H-Index: 22

Author Correction: Pan-cancer analysis of whole genomes

Nature

2023/2/16

Graph-based algorithms for phase-type distributions

Statistics and Computing

2022/12

Asger Hobolth
Asger Hobolth

H-Index: 22

Kasper Munch
Kasper Munch

H-Index: 24

A flexible model-based framework for robust estimation of mutational signatures

arXiv preprint arXiv:2207.02677

2022/7/6

Lasse Maretty
Lasse Maretty

H-Index: 8

Asger Hobolth
Asger Hobolth

H-Index: 22

Phasetyper: phase-type distributions in r with reward transformations and a view towards population genetics

BioRxiv

2022/6/17

Lars Nørvang Andersen
Lars Nørvang Andersen

H-Index: 6

Asger Hobolth
Asger Hobolth

H-Index: 22

A Sampling Algorithm to Compute the Set of Feasible Solutions for NonNegative Matrix Factorization with an Arbitrary Rank

SIAM Journal on Matrix Analysis and Applications

2022

Asger Hobolth
Asger Hobolth

H-Index: 22

Multivariate phase-type theory for the site frequency spectrum

Journal of Mathematical Biology

2021/12

Studying models of balancing selection using phase-type theory

Genetics

2021/6/1

Kai Zeng
Kai Zeng

H-Index: 25

Asger Hobolth
Asger Hobolth

H-Index: 22

A Unifying Framework and Comparison of Algorithms for Non‐negative Matrix Factorisation

International Statistical Review

2020/4

Asger Hobolth
Asger Hobolth

H-Index: 22

Qianyun Guo
Qianyun Guo

H-Index: 6

Pan-cancer analysis of whole genomes

Nature

2020/2/6

Combined burden and functional impact tests for cancer driver discovery using DriverPower

Nature communications

2020/2/5

See List of Professors in Asger Hobolth University(Aarhus Universitet)

Co-Authors

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