A5076642074- Gene expression and cancer classification
- Advanced Clustering Algorithms Research
- Dermatology and Skin Diseases
- Face and Expression Recognition
- Bioinformatics and Genomic Networks
- Psoriasis: Treatment and Pathogenesis
- Allergic Rhinitis and Sensitization
- Asthma and respiratory diseases
- RNA modifications and cancer
- Image Retrieval and Classification Techniques
- Muscle Physiology and Disorders
- MicroRNA in disease regulation
- Single-cell and spatial transcriptomics
- Skin Protection and Aging
- Blind Source Separation Techniques
- Metabolomics and Mass Spectrometry Studies
- Neural Networks and Applications
- IL-33, ST2, and ILC Pathways
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Cell Image Analysis Techniques
- Cutaneous lymphoproliferative disorders research
- Diverse Cultural and Historical Studies
- Muscle and Compartmental Disorders
- Nonmelanoma Skin Cancer Studies
- Chemistry and Chemical Engineering
Galderma (Switzerland)
2021
Université Paris-Panthéon-Assas
2017-2018
Université de Reims Champagne-Ardenne
2009-2018
Centre National de la Recherche Scientifique
2018
Galderma (France)
2005-2010
Saint-Gobain Recherche Paris
1998
Saint-Gobain (France)
1998
BackgroundPrurigo nodularis (PN) is a debilitating, difficult-to-treat, intensely pruritic, chronic inflammatory skin disease characterized by hyperkeratotic nodules. The pathogenesis of PN not well understood but believed to involve cross talk between sensory nerve fibers, immune cells, and the epidermis. It centered around neuroimmune cytokine IL-31, driving an intractable itch–scratch cycle.ObjectiveWe sought provide comprehensive view transcriptomic changes in characterize mechanism...
Biomarkers are critically important for disease diagnosis and monitoring. In particular, close monitoring of evolution is eminently required the evaluation therapeutic treatments. Classical methods in muscular dystrophies largely based on histological molecular analyses muscle biopsies. Such biopsies invasive therefore difficult to obtain. The serum protein creatine kinase a useful biomarker, which however not specific given pathology correlates poorly with severity or course pathology. aim...
Possible outcomes of acne lesions are atrophic scars, which may cause serious psychological distress. Current treatments for postacne scarring often require invasive procedures. Pathophysiological studies on have only investigated the first week papule life. To study pathophysiology scar formation to identify molecular and cellular pathways that can lead new therapies prevention scarring. Large‐scale gene expression profiling immunohistochemistry analysis were performed uninvolved skin...
Knee osteoarthritis (OA) is a degenerative joint disease that affects millions globally, causing chronic pain and limited mobility. Pharmacological treatments for OA-related knee come with risks, making alternative or complementary therapies attractive. This post-market trial evaluates the efficacy of Puressentiel® Muscles Joints gel, an aromatherapy gel 14 essential oils, in managing pain. In this 12-week open-label (NCT04736563), participants aged 45-90 applied twice daily 4 weeks,...
Modern methods such as microarrays, proteomics and metabolomics often produce datasets where there are many more predictor variables than observations. Research in these areas is exploratory; even so, interest statistical that accurately point to effects likely replicate. Correlations among predictors used improve the analysis. We exploit two ideas: non-negative matrix factorization create ordered sets of predictors; testing within which done sequentially, removing need for correction...
The availability of robust classification algorithms for the identification high risk individuals with resectable disease is critical to improving early detection strategies and ultimately increasing survival rates in PC. We leveraged quality biospecimens extensive clinical annotations from patients that received treatment at Medstar-Georgetown University hospital. used a resolution mass spectrometry based global tissue profiling approach conjunction multivariate analysis developing...
BackgroundProtein expression is disturbed in the psoriatic stratum corneum (SC). Noninvasive methods for description of pathophysiological changes and drug profiling psoriasis are desirable.
// Stéphanie Buart 1 , Stéphane Terry 1, * Muhammad Z. Noman Emilie Lanoy 2 Céline Boutros 3 Paul Fogel 4 Philippe Dessen 5 Guillaume Meurice Yann Gaston-Mathé 6 Vielh 7 Séverine Roy Routier Virginie Marty Sophie Ferlicot 8 Luc Legrès 9 Morad El. Bouchtaoui Nyam Kamsu-Kom 10 Jane Muret Eric Deutsch 11, 12, 13, 14 Alexander Eggermont 3, Jean-Charles Soria 10, 12 Caroline Robert and Salem Chouaib INSERM UMR1186, Integrative Tumor Immunology Genetic Oncology, Gustave Roussy, Equipe Labellisée...
Background Psoriasis is characterized by symmetry of plaques and modulation multiple genes within those plaques. Objectives We compared gene expression profiles psoriasis at different anatomical sites for both symmetrical asymmetrical disease to ascertain whether the same were expressed. Methods Gene analysed in biopsies from lesional uninvolved skin two groups patients with either predominantly or truncal vulgaris, normal healthy volunteers. Genomic analyses performed using cDNA array...
The effect of the mode neonatal delivery (cesarean or vaginal) on nutrient composition human milk (HM) has rarely been studied. Given increasing prevalence cesarean section (C-section) globally, understanding impact C-section vs. vaginal HM is fundamental when preferred source infant food during first 4 postnatal months.This study aimed to evaluate association between and in months life.Milk samples were obtained from 317 healthy lactating mothers as part an exploratory analyses within a...
Microarray technology has become a powerful research tool in many fields of study; however, the cost microarrays often results use low number replicates (k). Under circumstances where k is low, it becomes difficult to perform standard statistical tests extract most biologically significant experimental results. Other more advanced have been developed; their and interpretation remain implement routine biological research. The present work outlines method that achieves sufficient power for...
In statistical practice, rectangular tables of numeric data are commonplace, and often analyzed using dimension-reduction methods like the singular value decomposition its close cousin, principal component analysis (PCA). This produces score loading matrices representing rows columns original table these may be used for both prediction purposes to gain structural understanding data. some tables, entries necessarily nonnegative (apart, perhaps, from small random noise), so matrix factors...
Duchenne muscular dystrophy (DMD) is an X-linked disease caused by mutations in the dystrophin gene leading to absence of normal protein. The efforts many laboratories brought new treatments DMD reality, but ongoing and forthcoming clinical trials suffer from valuable biomarkers permitting follow outcome treatment day adjust if needed. In present study levels 128 urinary proteins including growth factors, cytokines chemokines were compared urine patients age related control subjects antibody...
Non-negative matrix factorization is a relatively new method of decomposition which factors an m × n data X into k W and H, so that ≈ H. Importantly, all values in X, W, H are constrained to be non-negative. NMF can used for dimensionality reduction, since the columns considered components has been decomposed. The question arises: how does one choose k? In this paper, we first assess methods estimating context synthetic data. Second, examine effect normalization on estimate’s accuracy...
We describe a new approach for integrating multiple views of data into common latent space using non-negative tensor factorization (NTF). This approach, which we refer to as the "Integrated Sources Model" (ISM), consists two main steps: embedding and analysis. In step, each view is transformed matrix with components. analysis are combined decomposed NTF. Noteworthy, ISM can be extended process multi-view sets missing views. illustrate examples: UCI digit dataset public cell type gene...
We describe a new approach for integrating multiple views of data into common latent space using non-negative tensor factorization (NTF). This approach, which we refer to as the "Integrated Sources Model" (ISM), consists two main steps: embedding and analysis. In step, each view is transformed matrix with components. analysis are combined decomposed NTF. Noteworthy, ISM can be extended process multi-view sets missing views. illustrate examples: UCI digit dataset public cell type gene...
We describe a new approach for integrating multiple views of data into common latent space using non-negative tensor factorization (NTF). This approach, which we refer to as the "Integrated Sources Model" (ISM), consists two main steps: embedding and analysis. In step, each view is transformed matrix with components. analysis are combined decomposed NTF. Noteworthy, ISM can be extended process multi-view sets missing views. illustrate examples: UCI digit dataset public cell type gene...
The choice of the factorization rank a matrix is critical, e.g., in dimensionality reduction, filtering, clustering, deconvolution, etc., because selecting that too high amounts to adjusting noise, while low results oversimplification signal. Numerous methods for non-negative have been proposed. One them cophenetic correlation coefficient (ccc), widely used data science evaluate number clusters hierarchical clustering. In previous work, it was shown ccc performs better than other selection...
In machine learning, multi-view data involve multiple distinct sets of attributes (“views”) for a common set observations; when each view has the same considered in different contexts, are said to contain views homogeneous format, which can be conceptualized as tensor. this article, we describe novel approach integrating heterogeneous format into latent space using workflow that involves non-negative matrix and tensor factorization (NMF/NTF). This approach, refer...
HTS data from primary screening are usually analyzed by setting a cutoff for activity, in order to minimize both false-negative and false-positive rates. An alternative approach, based on calculated probability of being active, is presented here. Given the predicted confirmation rate derived this probability, number positives selected follow-up can be optimized maximize true without picking too many false positives. Typical cutoff-determining methods more serendipitous their nature not...
Abstract Background Clobetasol propionate shampoo is effective and safe in treatment of scalp psoriasis (SP). Gene expression profiling psoriatic skin biopsies led to the identification numerous disease‐related genes. However, it remained unknown whether gene profile hair follicles SP patients was also affected. Objectives To determine psoriasis‐related genes are differentially regulated modulation these can be correlated with clinical severity scores. Methods A single arm, open study...