Zobrazeno 1 - 10
of 321
pro vyhledávání: '"A. Cournede"'
Estimating treatment effects over time holds significance in various domains, including precision medicine, epidemiology, economy, and marketing. This paper introduces a unique approach to counterfactual regression over time, emphasizing long-term pr
Externí odkaz:
http://arxiv.org/abs/2406.00535
Publikováno v:
Computational Methods in Systems Biology, Sep 2023, Luxembourg, Luxembourg. pp.1-17
Periodic recurrence is a prominent behavioural of many biological phenomena, including cell cycle and circadian rhythms. Although deterministic models are commonly used to represent the dynamics of periodic phenomena, it is known that they are little
Externí odkaz:
http://arxiv.org/abs/2405.09183
Estimating treatment effects over time is relevant in many real-world applications, such as precision medicine, epidemiology, economy, and marketing. Many state-of-the-art methods either assume the observations of all confounders or seek to infer the
Externí odkaz:
http://arxiv.org/abs/2310.10559
Autor:
Fillioux, Leo, Gontran, Emilie, Cartry, Jérôme, Mathieu, Jacques RR, Bedja, Sabrina, Boilève, Alice, Cournède, Paul-Henry, Jaulin, Fanny, Christodoulidis, Stergios, Vakalopoulou, Maria
Over the last ten years, Patient-Derived Organoids (PDOs) emerged as the most reliable technology to generate ex-vivo tumor avatars. PDOs retain the main characteristics of their original tumor, making them a system of choice for pre-clinical and cli
Externí odkaz:
http://arxiv.org/abs/2308.14461
Autor:
Fillioux, Leo, Boyd, Joseph, Vakalopoulou, Maria, Cournède, Paul-Henry, Christodoulidis, Stergios
Multiple instance learning is an ideal mode of analysis for histopathology data, where vast whole slide images are typically annotated with a single global label. In such cases, a whole slide image is modelled as a collection of tissue patches to be
Externí odkaz:
http://arxiv.org/abs/2306.15789
Recent advances in high-throughput sequencing technologies have enabled the extraction of multiple features that depict patient samples at diverse and complementary molecular levels. The generation of such data has led to new challenges in computatio
Externí odkaz:
http://arxiv.org/abs/2209.05485
Autor:
Blampey, Quentin, Bercovici, Nadège, Dutertre, Charles-Antoine, Pic, Isabelle, André, Fabrice, Ribeiro, Joana Mourato, Cournède, Paul-Henry
Cytometry enables precise single-cell phenotyping within heterogeneous populations. These cell types are traditionally annotated via manual gating, but this method suffers from a lack of reproducibility and sensitivity to batch-effect. Also, the most
Externí odkaz:
http://arxiv.org/abs/2208.05745
Competition indices are models frequently used in ecology to account for the impact of density and resource distribution on the growth of a plant population. They allow to define simple individual-based models, by integrating information relatively e
Externí odkaz:
http://arxiv.org/abs/2207.01748
Publikováno v:
Mathematical Medicine and Biology: A Journal of the IMA, Volume 41, Issue 2, June 2024, Pages 110-134
Myeloproliferative Neoplasms (MPN) are blood cancers that appear after acquiring a driver mutation in a hematopoietic stem cell. These hematological malignancies result in the overproduction of mature blood cells and, if not treated, induce a risk of
Externí odkaz:
http://arxiv.org/abs/2112.10688
Providing a human-understandable explanation of classifiers' decisions has become imperative to generate trust in their use for day-to-day tasks. Although many works have addressed this problem by generating visual explanation maps, they often provid
Externí odkaz:
http://arxiv.org/abs/2106.10947