A systematic review of hidden Markov models and their applications

B Mor, S Garhwal, A Kumar - Archives of computational methods in …, 2021 - Springer
The hidden Markov models are statistical models used in many real-world applications and
communities. The use of hidden Markov models has become predominant in the last …

Comprehensive molecular characterization of multifocal glioblastoma proves its monoclonal origin and reveals novel insights into clonal evolution and heterogeneity …

K Abou-El-Ardat, M Seifert, K Becker… - Neuro …, 2017 - academic.oup.com
Background. The evolution of primary glioblastoma (GBM) is poorly understood. Multifocal
GBM (ie, multiple synchronous lesions in one patient) could elucidate GBM development …

Network-based analysis of prostate cancer cell lines reveals novel marker gene candidates associated with radioresistance and patient relapse

M Seifert, C Peitzsch, I Gorodetska… - PLoS computational …, 2019 - journals.plos.org
Radiation therapy is an important and effective treatment option for prostate cancer, but high-
risk patients are prone to relapse due to radioresistance of cancer cells. Molecular …

Targeted capture-based NGS is superior to multiplex PCR-based NGS for hereditary BRCA1 and BRCA2 gene analysis in FFPE tumor samples

F Zakrzewski, L Gieldon, A Rump, M Seifert… - BMC cancer, 2019 - Springer
Background With the introduction of Olaparib treatment for BRCA-deficient recurrent ovarian
cancer, testing for somatic and/or germline mutations in BRCA1/2 genes in tumor tissues …

Bimodal affect recognition based on autoregressive hidden Markov models from physiological signals

FP Akbulut, HG Perros, M Shahzad - Computer Methods and Programs in …, 2020 - Elsevier
Background and objective: Affect provides contextual information about the emotional state
of a person as he/she communicates in both verbal and/or non-verbal forms. While human's …

Comparative transcriptomics reveals similarities and differences between astrocytoma grades

M Seifert, M Garbe, B Friedrich, M Mittelbronn, B Klink - BMC cancer, 2015 - Springer
Background Astrocytomas are the most common primary brain tumors distinguished into four
histological grades. Molecular analyses of individual astrocytoma grades have revealed …

Autoregressive asymmetric linear Gaussian hidden Markov models

C Puerto-Santana, P Larrañaga… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
In a real life process evolving over time, the relationship between its relevant variables may
change. Therefore, it is advantageous to have different inference models for each state of …

[HTML][HTML] Personalized identification and characterization of genome-wide gene expression differences between patient-matched intracranial and extracranial …

T Kraft, K Grützmann, M Meinhardt, F Meier… - Acta Neuropathologica …, 2024 - Springer
Melanoma is the most serious type of skin cancer that frequently spreads to other organs of
the human body. Especially melanoma metastases to the brain (intracranial metastases) are …

Importance of rare gene copy number alterations for personalized tumor characterization and survival analysis

M Seifert, B Friedrich, A Beyer - Genome biology, 2016 - Springer
It has proven exceedingly difficult to ascertain rare copy number alterations (CNAs) that may
have strong effects in individual tumors. We show that a regulatory network inferred from …

A Profile Hidden Markov Model to investigate the distribution and frequency of LanB-encoding lantibiotic modification genes in the human oral and gut microbiome

CJ Walsh, CM Guinane, PW O'Toole, PD Cotter - PeerJ, 2017 - peerj.com
Background The human microbiota plays a key role in health and disease, and bacteriocins,
which are small, bacterially produced, antimicrobial peptides, are likely to have an important …