Transcription factors: Bridge between cell signaling and gene regulation

P Weidemüller, M Kholmatov, E Petsalaki… - …, 2021 - Wiley Online Library
Transcription factors (TFs) are key regulators of intrinsic cellular processes, such as
differentiation and development, and of the cellular response to external perturbation …

Comprehensive overview of bottom-up proteomics using mass spectrometry

Y Jiang, DAB Rex, D Schuster, BA Neely… - ACS Measurement …, 2024 - ACS Publications
Proteomics is the large scale study of protein structure and function from biological systems
through protein identification and quantification.“Shotgun proteomics” or “bottom-up …

Signed Distance Correlation (SiDCo): an online implementation of distance correlation and partial distance correlation for data-driven network analysis

F Monti, D Stewart, A Surendra, I Alecu… - …, 2023 - academic.oup.com
Motivation There is a need for easily accessible implementations that measure the strength
of both linear and non-linear relationships between metabolites in biological systems as an …

Gene co-expression network analysis

JD Montenegro - Plant bioinformatics: methods and protocols, 2022 - Springer
Gene co-expression analysis is a data analysis technique that helps identify groups of
genes with similar expression patterns across several different conditions. By means of …

[HTML][HTML] Development and validation of a hybrid model for prediction of viable cell density, titer and cumulative glucose consumption in a mammalian cell culture …

BS Yatipanthalawa, SEW Fitzsimons, T Horning… - Computers & Chemical …, 2024 - Elsevier
Among the many approaches to build predictive models for bioprocesses, hybrid models
have gained increased attention due to their ability to combine data driven approaches with …

COGENT: evaluating the consistency of gene co-expression networks

LV Bozhilova, J Pardo-Diaz, G Reinert… - …, 2021 - academic.oup.com
Gene co-expression networks can be constructed in multiple different ways, both in the use
of different measures of co-expression, and in the thresholds applied to the calculated co …

Signed Distance Correlation (SiDCo): A network analysis application of distance correlation for identifying metabolic networks disrupted in Dementia with Lewy Bodies

M Čuperlović-Culf, A Yilmaz, D Stewart, A Surendra… - medRxiv, 2021 - medrxiv.org
Motivation Identifying pathological metabolic changes in complex disease such as Dementia
with Lewy Bodies (DLB) requires a deep understanding of functional modifications in the …

Graph models of brain state in deep anaesthesia reveal sink state dynamics of reduced spatiotemporal complexity and integration

J Wilsenach, CM Deane, G Reinert, K Warnaby - bioRxiv, 2024 - biorxiv.org
Deep anaesthetisation is an important surgical and explorative tool in the study of
consciousness. Much work has been done to connect the deeply anaesthetised condition …

Generating weighted and thresholded gene coexpression networks using signed distance correlation

J Pardo-Diaz, PS Poole, M Beguerisse-Díaz… - Network …, 2022 - cambridge.org
Even within well-studied organisms, many genes lack useful functional annotations. One
way to generate such functional information is to infer biological relationships between …

Extracting Information from Gene Coexpression Networks of Rhizobium leguminosarum

J Pardo-Diaz, M Beguerisse-Díaz, PS Poole… - Journal of …, 2022 - liebertpub.com
Nitrogen uptake in legumes is facilitated by bacteria such as Rhizobium leguminosarum. For
this bacterium, gene expression data are available, but functional gene annotation is less …