A5050653585- Multiple Myeloma Research and Treatments
- Bayesian Methods and Mixture Models
- Statistical Methods and Inference
- Gene expression and cancer classification
- Protein Degradation and Inhibitors
- RNA and protein synthesis mechanisms
- Cancer Genomics and Diagnostics
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- Statistical Distribution Estimation and Applications
- Cancer-related molecular mechanisms research
- Healthcare Operations and Scheduling Optimization
- Advanced Queuing Theory Analysis
- Statistical Methods in Clinical Trials
- Monoclonal and Polyclonal Antibodies Research
- Cancer therapeutics and mechanisms
- PI3K/AKT/mTOR signaling in cancer
- Geochemistry and Geologic Mapping
- Algorithms and Data Compression
- Advanced Control Systems Optimization
- Mathematical Biology Tumor Growth
- Genomic variations and chromosomal abnormalities
- Genetic Associations and Epidemiology
- Statistical Methods and Bayesian Inference
- Peptidase Inhibition and Analysis
Centre National de la Recherche Scientifique
2014-2024
Université de Montpellier
2014-2024
Australian National University
2024
Institut universitaire du cancer de Toulouse Oncopole
2015-2017
Dana-Farber Cancer Institute
2014-2017
Inserm
2015
AgroParisTech
2013-2015
Centre de Recherche en Cancérologie de Toulouse
2015
Université Claude Bernard Lyon 1
2013-2014
Mathématiques et Informatique Appliquées
2013
Multiple myeloma (MM) is characterized by copy number abnormalities (CNAs), some of which influence patient outcomes and are sometimes observed only at relapse(s), suggesting their acquisition during tumor evolution. However, the presence micro-subclones may be missed in bulk analyses. Here, we use single-cell genomics to determine how often these high-risk events diagnosis selected relapse.
Despite the development of novel drugs, alkylating agents remain an important component therapy in multiple myeloma (MM). DNA repair processes contribute towards sensitivity to and therefore we here evaluate role nucleotide excision (NER), which is involved removal bulky adducts crosslinks MM. We first evaluated NER activity using a functional assay observed heterogeneous efficiency MM cell lines patient samples. Using next-generation sequencing data, identified that expression canonical...
Abstract Multiple myeloma is a plasma cell malignancy characterized by recurrent IgH translocations and well described genomic heterogeneity. Although transcriptome profiles in multiple has been described, landscape of expressed fusion genes their clinical impact remains unknown. To provide comprehensive detailed gene cartography suggest new mechanisms tumorigenesis myeloma, we performed RNA sequencing cohort 255 newly diagnosed homogeneously treated patients with long follow-up. Here,...
Control theory plays a pivotal role in understanding and optimizing the behavior of complex dynamical systems across various scientific engineering disciplines. Two key frameworks that have emerged for modeling solving control problems stochastic are piecewise deterministic Markov processes (PDMPs) decision (MDPs). Each framework has its unique strengths, their intersection offers promising opportunities tackling broad class problems, particularly context impulse controls decision-making...
Abstract Translational control is important in all life, but it remains a challenge to accurately quantify. When ribosomes translate messenger (m)RNA into proteins, they attach the mRNA series, forming poly(ribo)somes, and can co-localize. Here, we computationally model new types of co-localized ribosomal complexes on identify them using enhanced translation complex profile sequencing (eTCP-seq) based rapid vivo crosslinking. We detect long disome footprints outside regions non-random...
Change point problems arise in many genomic analyses such as the detection of copy number variations or transcribed regions. The expanding Next Generation Sequencing technologies now allow to locate change points at nucleotide resolution. Because its complexity which is almost linear sequence length when maximal segments constant, and performance had been acknowledged for microarrays, we propose use Pruned Dynamic Programming algorithm Seq-experiment outputs. This requires adaptation...
from teaching and research institutions in France or abroad, public private centers.L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques niveau recherche, publiés ou non, émanant des établissements d'enseignement recherche français étrangers, laboratoires publics privés.
In this paper, we prove that finite state space non parametric hidden Markov models are identifiable as soon the transition matrix of latent chain has full rank and emission probability distributions linearly independent. We then propose several likelihood based estimation methods, which apply to used in applications. finally show on examples use modeling may improve classification performances.
We consider the segmentation problem of univariate distributions from exponential family with multiple parameters. In segmentation, choice number segments remains a difficult issue due to discrete nature change-points. this general distribution framework, we propose penalized $\log$-likelihood estimator where penalty is inspired by papers L. Birgé and P. Massart. The resulting proved satisfy some oracle inequalities. then further study particular case categorical variables comparing values...
Designing patient-specific follow-up strategy is a crucial step towards personalized medicine in cancer. Tools to help doctors deciding on treatment allocation together with next visit date, based patient preferences and medical observations, would be particularly beneficial. Such tools should realistic models of disease progress under the impact treatments, involve design (multi-)objective functions that optimize along patient's journey, include efficient resolution algorithms by taking...