Anders Krogh

Anders Krogh

Københavns Universitet

H-index: 85

Europe-Denmark

About Anders Krogh

Anders Krogh, With an exceptional h-index of 85 and a recent h-index of 49 (since 2020), a distinguished researcher at Københavns Universitet, specializes in the field of Bioinformatics, data science, machine learning.

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

Synthetic data generation by artificial intelligence to accelerate research and precision medicine in hematology

multiDGD: A versatile deep generative model for multi-omics data

N-of-one differential gene expression without control samples using a deep generative model

The Deep Generative Decoder: MAP estimation of representations improves modelling of single-cell RNA data

Context dependency of nucleotide probabilities and variants in human DNA

Multi-modal analysis and federated learning approach for classification and personalized prognostic assessment in myeloid neoplasms

Context dependent prediction in DNA sequence using neural networks

DeepTMHMM predicts alpha and beta transmembrane proteins using deep neural networks

Anders Krogh Information

University

Position

Department of Computer Science and Center for Health Data Science

Citations(all)

88285

Citations(since 2020)

21719

Cited By

74075

hIndex(all)

85

hIndex(since 2020)

49

i10Index(all)

150

i10Index(since 2020)

107

Email

University Profile Page

Københavns Universitet

Google Scholar

View Google Scholar Profile

Anders Krogh Skills & Research Interests

Bioinformatics

data science

machine learning

Top articles of Anders Krogh

Title

Journal

Author(s)

Publication Date

Synthetic data generation by artificial intelligence to accelerate research and precision medicine in hematology

JCO Clinical Cancer Informatics

Saverio D'amico

Daniele Dall’Olio

Claudia Sala

Lorenzo Dall’Olio

Elisabetta Sauta

...

2023/6

multiDGD: A versatile deep generative model for multi-omics data

bioRxiv

Viktoria Schuster

Emma Dann

Anders Krogh

Sarah Teichmann

2023

N-of-one differential gene expression without control samples using a deep generative model

Genome Biology

Iñigo Prada-Luengo

Viktoria Schuster

Yuhu Liang

Thilde Terkelsen

Valentina Sora

...

2023/11/16

The Deep Generative Decoder: MAP estimation of representations improves modelling of single-cell RNA data

Bioinformatics

Viktoria Schuster

Anders Krogh

2023/9/1

Context dependency of nucleotide probabilities and variants in human DNA

BMC genomics

Yuhu Liang

Christian Grønbæk

Piero Fariselli

Anders Krogh

2022/1/31

Multi-modal analysis and federated learning approach for classification and personalized prognostic assessment in myeloid neoplasms

Blood

Saverio D'Amico

Lorenzo Dall'Olio

Cesare Rollo

Patricia Alonso

Iñigo Prada-Luengo

...

2022/11/15

Context dependent prediction in DNA sequence using neural networks

PeerJ

Christian Grønbæk

Yuhu Liang

Desmond Elliott

Anders Krogh

2022/9/20

DeepTMHMM predicts alpha and beta transmembrane proteins using deep neural networks

BioRxiv

Jeppe Hallgren

Konstantinos D Tsirigos

Mads Damgaard Pedersen

José Juan Almagro Armenteros

Paolo Marcatili

...

2022/4/10

A manifold learning perspective on representation learning: learning decoder and representations without an encoder

Entropy

Viktoria Schuster

Anders Krogh

2021/10/25

The Deep Generative Decoder: using MAP estimates of representations

Viktoria Schuster

Anders Krogh

2021/10/6

Prediction of DNA from context using neural networks

bioRxiv

Christian Grønbæk

Yuhu Liang

Desmond Elliott

Anders Krogh

2021/7/29

High‐throughput proteomics of breast cancer interstitial fluid: identification of tumor subtype‐specific serologically relevant biomarkers

Molecular Oncology

Thilde Terkelsen

Maria Pernemalm

Pavel Gromov

Anna‐Lise Børresen‐Dale

Anders Krogh

...

2021/2

Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration

Breast Cancer Research

Thilde Terkelsen

Francesco Russo

Pavel Gromov

Vilde Drageset Haakensen

Søren Brunak

...

2020/12

Taxonomic classification method for metagenomics based on core protein families with Core-Kaiju

Nucleic Acids Research

Samir Suweis Anna Tovo

Peter Menzel

Anders Krogh

Marco Cosentino Lagomarsino

2020/9/18

CAncer bioMarker Prediction Pipeline (CAMPP)—A standardized framework for the analysis of quantitative biological data

PLoS computational biology

Thilde Terkelsen

Anders Krogh

Elena Papaleo

2020/3/16

See List of Professors in Anders Krogh University(Københavns Universitet)

Co-Authors

H-index: 189
David Haussler

David Haussler

University of California, Santa Cruz

H-index: 153
Richard Durbin

Richard Durbin

University of Cambridge

H-index: 129
Gunnar von Heijne

Gunnar von Heijne

Stockholms universitet

H-index: 121
Søren Brunak

Søren Brunak

Københavns Universitet

H-index: 95
Sean R. Eddy

Sean R. Eddy

Harvard University

H-index: 66
Albin Sandelin

Albin Sandelin

Københavns Universitet

academic-engine