Next generation of network medicine: interdisciplinary signaling approaches

T Korcsmaros, MV Schneider… - Integrative …, 2017 - academic.oup.com
In the last decade, network approaches have transformed our understanding of biological
systems. Network analyses and visualizations have allowed us to identify essential …

In silico approaches for drug repurposing in oncology: a scoping review

BRR Cavalcante, RD Freitas… - Frontiers in …, 2024 - frontiersin.org
Introduction: Cancer refers to a group of diseases characterized by the uncontrolled growth
and spread of abnormal cells in the body. Due to its complexity, it has been hard to find an …

A multi-omics interpretable machine learning model reveals modes of action of small molecules

NL Patel-Murray, M Adam, N Huynh, BT Wassie… - Scientific reports, 2020 - nature.com
High-throughput screening and gene signature analyses frequently identify lead therapeutic
compounds with unknown modes of action (MoAs), and the resulting uncertainties can lead …

A framework for considering prior information in network‐based approaches to omics data analysis

J Somers, M Fenner, G Kong, D Thirumalaisamy… - …, 2023 - Wiley Online Library
For decades, molecular biologists have been uncovering the mechanics of biological
systems. Efforts to bring their findings together have led to the development of multiple …

HTS-Net: an integrated regulome-interactome approach for establishing network regulation models in high-throughput screenings

C Rioualen, Q Da Costa, B Chetrit, E Charafe-Jauffret… - PLoS …, 2017 - journals.plos.org
High-throughput RNAi screenings (HTS) allow quantifying the impact of the deletion of each
gene in any particular function, from virus-host interactions to cell differentiation. However …

EpiSAFARI: sensitive detection of valleys in epigenetic signals for enhancing annotations of functional elements

A Harmanci, AS Harmanci, J Swaminathan… - …, 2020 - academic.oup.com
Motivation Functional genomics experiments generate genomewide signal profiles that are
dense information sources for annotating the regulatory elements. These profiles measure …

Machine learning methods for next generation sequencing data: applications to MLL-AF4 leukemia and demographic inference

CB Cole - 2021 - ora.ox.ac.uk
As next generation sequencing technologies continue to mature and find applications
across genomics, it has become clear that the scale and scope of generated data far …

[PDF][PDF] Approches d'intégration de données haut débit sur l'interactome humain.

G Bidaut - 2020 - hal.science
L'analyse de la transcription des gènes à grande échelle est la clé de voûte de la
compréhension de leur fonction et de la fonction des protéines qu'elles traduisent. Elle a …