To metabolomics and beyond: a technological portfolio to investigate cancer metabolism

F Danzi, R Pacchiana, A Mafficini, MT Scupoli… - … and Targeted Therapy, 2023 - nature.com
Tumour cells have exquisite flexibility in reprogramming their metabolism in order to support
tumour initiation, progression, metastasis and resistance to therapies. These reprogrammed …

Reproducible, scalable, and shareable analysis pipelines with bioinformatics workflow managers

L Wratten, A Wilm, J Göke - Nature methods, 2021 - nature.com
The rapid growth of high-throughput technologies has transformed biomedical research.
With the increasing amount and complexity of data, scalability and reproducibility have …

Emerging trends in IoT and big data analytics for biomedical and health care technologies

A Banerjee, C Chakraborty, A Kumar… - Handbook of data science …, 2020 - Elsevier
The recent revolutions in Internet of Things (IoT) and big data analytics have unlocked
promising possibilities in biomedical and health care technologies. The current chapter …

Risks associated with the implementation of big data analytics in sustainable supply chains

S Kusi-Sarpong, IJ Orji, H Gupta, M Kunc - Omega, 2021 - Elsevier
In the current era of unprecedented technological advancements, the effective use of big
data analytics has become a fundamental requirement for organizations and provides …

Biomedical image classification in a big data architecture using machine learning algorithms

C Tchito Tchapga, TA Mih… - Journal of …, 2021 - Wiley Online Library
In modern‐day medicine, medical imaging has undergone immense advancements and can
capture several biomedical images from patients. In the wake of this, to assist medical …

Metabolomics technology and bioinformatics for precision medicine

RK Azad, V Shulaev - Briefings in bioinformatics, 2019 - academic.oup.com
Precision medicine is rapidly emerging as a strategy to tailor medical treatment to a small
group or even individual patients based on their genetics, environment and lifestyle …

AutoTuner: high fidelity and robust parameter selection for metabolomics data processing

C McLean, EB Kujawinski - Analytical Chemistry, 2020 - ACS Publications
Untargeted metabolomics experiments provide a snapshot of cellular metabolism but remain
challenging to interpret due to the computational complexity involved in data processing and …

[HTML][HTML] An optimal big data workflow for biomedical image analysis

AT Kouanou, D Tchiotsop, R Kengne… - Informatics in Medicine …, 2018 - Elsevier
Background and objective In the medical field, data volume is increasingly growing, and
traditional methods cannot manage it efficiently. In biomedical computation, the continuous …

Epidemiology in wonderland: Big Data and precision medicine

R Saracci - European journal of epidemiology, 2018 - Springer
Big Data and precision medicine, two major contemporary challenges for epidemiology, are
critically examined from two different angles. In Part 1 Big Data collected for research …

A large-scale analysis of bioinformatics code on GitHub

PH Russell, RL Johnson, S Ananthan, B Harnke… - PloS one, 2018 - journals.plos.org
In recent years, the explosion of genomic data and bioinformatic tools has been
accompanied by a growing conversation around reproducibility of results and usability of …