1k citations
- Computer Algorithms for MedicineAT4 papers
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- Addenbrooke's HospitalGB3 papers
- AstraZeneca (United Kingdom)GB3 papers
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- Centre National de la Recherche ScientifiqueFR3 papers
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14 papers
GeneFEAST: the pivotal, gene-centric step in functional enrichment analysis interpretation
Avigail Taylor, Valentine M Macaulay, Anand K Maurya +2
Summary: GeneFEAST, implemented in Python, is a gene-centric functional enrichment analysis summarisation and visualisation tool that can be applied to large functional enrichment…
How to estimate carbon footprint when training deep learning models? A guide and review
Lucia Bouza Heguerte, Aurélie Bugeau, Loïc Lannelongue
Machine learning and deep learning models have become essential in the recent fast development of artificial intelligence in many sectors of the society. It is now widely acknowled…
Navigating the challenges in creating complex data systems: a development philosophy
Sören Dittmer, Michael Roberts, Julian Gilbey +6
In this perspective, we argue that despite the democratization of powerful tools for data science and machine learning over the last decade, developing the code for a trustworthy a…
Classification of datasets with imputed missing values: does imputation quality matter?
Tolou Shadbahr, Michael Roberts, Jan Stanczuk +15
Classifying samples in incomplete datasets is a common aim for machine learning practitioners, but is non-trivial. Missing data is found in most real-world datasets and these missi…
Constrained Consensus Sequence Algorithm for DNA Archiving
Dominique Lavenier
The paper describes an algorithm to compute a consensus sequence from a set of DNA sequences of approximatively identical length generated by 3rd sequencing generation technologies…
LRez: C++ API and toolkit for analyzing and managing Linked-Reads data
Pierre Morisse, Claire Lemaitre, Fabrice Legeai
Linked-Reads technologies, such as 10x Genomics, combine both the high-quality and low cost of short-reads sequencing and a long-range information, through the use of barcodes able…