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Overview

John Goutsias is a researcher affiliated with Johns Hopkins University in the United States. Their work primarily lies within the field of Biochemistry, Genetics and Molecular Biology, with a strong focus on Molecular Biology and Genetics. The scientist's research extends into several subfields including Artificial Intelligence, Public Health, Environmental and Occupational Health, and Hematology.

Their research topics cover a broad range of areas related to genetics and epigenetics. These include:

  • Epigenetics and DNA Methylation
  • Genetic Syndromes and Imprinting
  • Genomics and Chromatin Dynamics
  • Algorithms and Data Compression
  • Genomics and Phylogenetic Studies
  • Genetic Associations and Epidemiology
  • Acute Lymphoblastic Leukemia research

John Goutsias has published multiple papers across various well-recognized scientific venues. Some of their recent publications include:

  • Detection of haplotype-dependent allele-specific DNA methylation in WGBS data, 2020, Nature Communications
  • Converging genetic and epigenetic drivers of paediatric acute lymphoblastic leukaemia identified by an information-theoretic analysis, 2021, Nature Biomedical Engineering
  • A Dysregulated DNA Methylation Landscape Linked to Gene Expression in MLL-Rearranged AML, 2020, Epigenetics
  • Estimating DNA methylation potential energy landscapes from nanopore sequencing data, 2021, Scientific Reports
  • CpelTdm.jl: a Julia package for targeted differential DNA methylation analysis, 2020, bioRxiv (Cold Spring Harbor Laboratory)

The scientist frequently collaborates with several coauthors, including:

  • Jordi Abante
  • Andrew P. Feinberg
  • Michael A. Koldobskiy
  • Garrett Jenkinson
  • Elisabet Pujadas

The main publication venues where John Goutsias's work appears prominently include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Nature Biomedical Engineering
  • Epigenetics
  • Scientific Reports

Best Publications

  • The NASA Twins Study: A multidimensional analysis of a year-long human spaceflight.

    Francine E. Garrett-Bakelman;Francine E. Garrett-Bakelman;Manjula Darshi;Stefan J. Green;Ruben C. Gur

  • Nonlinear multiresolution signal decomposition schemes. II. Morphological wavelets

    H.J.A.M. Heijmans;J. Goutsias

  • Mathematical morphology and its applications to image and signal processing

    John Goutsias;Luc Vincent;Dan S. Bloomberg

  • Quasiequilibrium approximation of fast reaction kinetics in stochastic biochemical systems.

    John Goutsias

  • Morphological operators for image sequences

    John Goutsias;Henk J. A. M. Heijmans;K. Sivakumar

  • Automatic target detection and tracking in forward-looking infrared image sequences using morphological connected operators

    Ulisses M. Braga-Neto;Ulisses M. Braga-Neto;Manish Choudhary;John Goutsias

  • Optimal morphological pattern restoration from noisy binary images

    D. Schonfeld;J. Goutsias

  • Random sets : theory and applications

    John Goutsias;Ronald P. S. Mahler;Hung T. Nguyen

  • Markovian dynamics on complex reaction networks

    John Goutsias;Garrett Jenkinson

  • Morphological representation of discrete and binary images

    J. Goutsias;D. Schonfeld

  • Potential energy landscapes identify the information-theoretic nature of the epigenome

    Garrett Jenkinson;Elisabet Pujadas;Elisabet Pujadas;John Goutsias;Andrew P Feinberg;Andrew P Feinberg

  • A Theoretical Tour of Connectivity in Image Processing and Analysis

    Ulisses Braga-Neto;John Goutsias

  • Connectivity on complete lattices: new results

    Ulisses Braga-Neto;John Goutsias

  • Computational and experimental approaches for modeling gene regulatory networks.

    J Goutsias;N H Lee

  • A nonlinear discrete dynamical model for transcriptional regulation: construction and properties.

    John Goutsias;Seungchan Kim

  • Fundamenta Morphologicae Mathematicae

    John Goutsias;Henk J. A. M. Heijmans

  • Mutually compatible Gibbs random fields

    J.K. Goutsias

  • Grayscale level connectivity: theory and applications

    U. Braga-Neto;J. Goutsias

  • Morphological Methods for Biomedical Image Analysis

    John Goutsias;Sinan Batman

  • Morphological operators for image sequences

    J. Goutsias;H.J.A.M. Heijmans;D. Sivakumar

Frequent Co-Authors

Andrew P. Feinberg
Andrew P. Feinberg Johns Hopkins University
Ulisses M. Braga-Neto
Ulisses M. Braga-Neto Texas A&M University
Dan Schonfeld
Dan Schonfeld University of Illinois at Chicago
Jerry M. Mendel
Jerry M. Mendel University of Southern California
Gerasimos Potamianos
Gerasimos Potamianos University Of Thessaly
Fred W. Turek
Fred W. Turek Northwestern University
Christopher E. Mason
Christopher E. Mason Cornell University
Ruben C. Gur
Ruben C. Gur University of Pennsylvania
Michael Snyder
Michael Snyder Stanford University
Tyler M. Moore
Tyler M. Moore University of Pennsylvania

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