Tesis sobre el tema "Bio-statistics"
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Liu, Fangda y 刘芳达. "Two results in financial mathematics and bio-statistics". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46976437.
Texto completoDuforet-Frebourg, Nicolas. "Statistiques bayésiennes en génétique des populations : modèle à facteurs et processus gaussiens pour étudier la variation génétique neutre et adaptative". Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENS015/document.
Texto completoIn this thesis we present several works related to Bayesian statistics in population genetics. Population genetics aims at explaining genetic variation within natural species, and infer the different processes that lead to current genetic variation. Large scale genomic datasets are produced, and there is an increasing need of statistical methods to extract information from these datasets. My thesis work is part of this statistical modeling effort to answer to evolutionary biology and population genetic questions. We are interested in detecting footprints of local adaptation without, and infering non-stationary patterns of spatial variation. A Bayesian factor model is used to detect genes involved in local adaptation. We compare our factor model to existing methods, and show that it can reduce the false discovery rate. We also present a Bayesian model based on Gaussian processes to caracterize spatial genetic variations within species. The performances of these methods are tested on simulations and real datasets. Several open source software are available online
Hadj, Amor Khaoula. "Classification et inférence de réseaux de gènes à partir de séries temporelles très courtes : application à la modélisation de la mémoire transcriptionnelle végétale associée à des stimulations sonores répétées". Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSES037.
Texto completoAdvancements in new sequencing technologies have paved the way for accessing dynamic gene expression data on a genome-wide scale. Classical ensemble approaches traditionally used in biology fall short of comprehending the underlying the complex molecular mechanisms. Consequently, developing analytical methods to understand further such data poses a significant challenge for current biology. However, the technical and experimental costs associated with transcriptomic data severely limit the dimension of real datasets and their analytical methods. Throughout my thesis, at the intersection of applied mathematics and plant biology, I focused on implementing an inference method for dynamic regulatory networks tailored to a real and original dataset describing the effect of repeated acoustic stimulations on genes expressions of Arabidopsis thaliana. I proposed a clustering method adapted to very-short time series that groups genes based on temporal variations, adjusting the data dimension for network inference. The comparison of this method with classical methods showed that it was the most suitable for very-short time series with irregular time points. For the network inference, I proposed a model that takes into account intra-class variability and integrates a constant term explicitly describing the external stimulation of the system. The evaluation of these classification and inference methods was conducted on simulated and real-time series data, which established their high performance in terms of accuracy, recall, and prediction error. The implementation of these methods to study the priming of the immune response of Arabidopsis thaliana through repeated sound waves. We demonstrated the formation of a transcriptional memory associated with stimulations, transitioning the plant from a naïve state to a primed and more resistant state within 3 days. This resistant state, maintained by stimulations and transcription factor cascades, enhances the plant's immune resistance by triggering the expression of resistance genes in healthy plants, diversifying the number of genes involved in the immune response, and intensifying the expression of numerous resistance genes. The inference of the network describing the transcriptional memory associated with repeated sound stimulations allowed us to identify the properties conferred to plants. Experimentally validated predictions showed that increasing the frequency between stimulations does not result in a more significant resistance gain, and the transcriptional memory lasts only 1.5 days after the last stimulation
CALLEGARO, GIULIA. "Fostering Cell Transformation Assay in carcinogenicity assessment: toward in vitro-in silico bridging". Doctoral thesis, Università degli Studi di Milano-Bicocca, 2017. http://hdl.handle.net/10281/158270.
Texto completoThe evaluation of the carcinogenic potential to humans relies at regulatory level on the two-year rodent bioassays (OECD TG451), which are extremely costly in terms of time and animals used, and whose predictive value towards humans has been questioned. The Cell Transformation Assays (CTAs) are the most advanced in vitro methods to identify the chemical carcinogenicity potential, in terms of standardization and validation, and reproduce key stages of in vivo transformation. The endpoint is the formation of transformed colonies (or foci) upon treatment with a carcinogen, which are visually scored by stereomicroscopy, using defined morphological features. These assays offer several advantages in comparison to the in vivo bioassays in rodents, and are used by industry and academia as screening methods for carcinogenicity testing and as a tool for mechanistic studies. Even though OECD Guidance Documents on CTAs have been recently published, further improvements are considered important to enhance the use of the assay. We developed two approaches aiming to: i) increase throughput and reliability of the scoring process, by developing algorithms and statistical methods designed to quantitatively characterize foci morphological features and ii) increase the understanding of in vitro transformation mechanisms, through the molecular characterization of transformed cells from foci, and from initial phases of transformation. A database of digital images of foci from CTAs performed by EURL ECVAM (JRC), in the prevalidation study, and by ARPA-ER, were acquired and foci regions were isolated from the background through an originally developed algorithm. Statistical image descriptors defining the morphological features recognized during visual scoring were developed to cover size, multilayer growth, spindle-shape, invasiveness, and degree of heterogeneity of foci. Statistical models were developed to automatically classify foci, supporting the phase of visual scoring. In addition, exploiting fitted parametric models using defined statistical descriptors, it was possible to estimate the effects of concentrations of tested carcinogens on foci morphologies. To disclose the mechanisms of in vitro transformation, it is crucial to evaluate the process through a temporal approach. Cells from initial phases of exposure to carcinogen and from transformed foci were collected to perform transcriptomic and biochemical analyses of signalling cascades. We exploited this system to study mechanisms involved in cadmium-induced transformation, hence cadmium is an established human carcinogen, but whose mechanisms of action are still not fully understood. During in vitro transformation many processes are involved and non-unique ways to the establishment of transformed cells can be covered. Indeed, we demonstrated that upon the same stimulus, foci characterised by different phenotypes can be induced, and different phenotypes correspond indeed to a specific biochemical/molecular cell clone fingerprint. This approach provides a tool for mechanistic studies and it will allow the comprehension of the links between transformed phenotype of foci and the biochemical fingerprint. An increased mechanistic understanding of in vitro transformation could support an integrated approach based on quantitative scoring of foci and molecular fingerprinting. This advancement will also meet specific recommendations of EURL ECVAM in view of future broader acceptance of these assays.
BENAZZO, Andrea. "LE SIMULAZIONI DEL PROCESSO COALESCENTE IN GENETICA DI POPOLAZIONI: INFERENZE DEMOGRAFICHE ED EVOLUTIVE". Doctoral thesis, Università degli studi di Ferrara, 2012. http://hdl.handle.net/11392/2389456.
Texto completoBlum, Michael G. B. "Statistique bayésienne et applications en génétique des populations". Habilitation à diriger des recherches, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00766196.
Texto completoAbdulgader, Musbah M. "Bio Inspired Evolutionary Fuzzy System for Data Classification". University of Toledo / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1575563281684676.
Texto completoXayaphoummine, Alain. "Simulations et expériences sur le repliement de l'ARN : prédictions statistiques des pseudonoeuds in silico et réalisation de commutateurs ARN par transcription in vitro". Phd thesis, Université Louis Pasteur - Strasbourg I, 2004. http://tel.archives-ouvertes.fr/tel-00221533.
Texto completoDéveloppement d'un algorithme d'accélération exacte de la dynamique de monte Carlo.
Développement et interfaçage web d'un code de repliement de molécule ARN incluant les motifs pseudoneuds. Rendu cinématique de la dynamique de repliement.
Etude statistique de la prévalence des pseudoneouds dans des séquences biologiques et aléatoires.
Vérification expérimentale du code repliement. Démonstration expérimentale de l'existence d'un super-code guidant pour le repliement natif des ARN.
Dhifli, Wajdi. "Fouille de Sous-graphes Basée sur la Topologie et la Connaissance du Domaine: Application sur les Structures 3D de Protéines". Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2013. http://tel.archives-ouvertes.fr/tel-00922209.
Texto completoMarzin, Anahita. "Indicateurs biologiques de la qualité écologique des cours d’eau : variabilités et incertitudes associées". Thesis, Paris, AgroParisTech, 2013. http://www.theses.fr/2013AGPT0002/document.
Texto completoSensitive biological measures of ecosystem quality are needed to assess, maintain or restore the ecological conditions of rivers. Since our understanding of these complex systems is imperfect, river management requires recognizing variability and uncertainty of bio-assessment for decision-making. Based on the analysis of national data sets (~ 1654 sites), the main goals of this work were (1) to test some of the assumptions that shape bio-indicators and (2) address the temporal variability and the uncertainty associated to prediction of reference conditions.(1) This thesis highlights (i) the predominant role of physiographic factors in shaping biological communities in comparison to human pressures (defined at catchment, riparian corridor and reach scales), (ii) the differences in the responses of biological indicators to the different types of human pressures (water quality, hydrological, morphological degradations) and (iii) more generally, the greatest biological impacts of water quality alterations and impoundments. (2) A Bayesian method was developed to estimate the uncertainty associated with reference condition predictions of a fish-based bio-indicator (IPR+). IPR+ predictive uncertainty was site-dependent but showed no clear trend related to the environmental gradient. By comparison, IPR+ temporal variability was lower and sensitive to an increase of human pressure intensity. This work confirmed the advantages of multi-metric indexes based on functional metrics in comparison to compositional metrics. The different sensitivities of macrophytes, fish, diatoms and macroinvertebrates to human pressures emphasize their complementarity in assessing river ecosystems. Nevertheless, future research is needed to better understand the effects of interactions between pressures and between pressures and the environment
Laurent, Benoist. "Étude de l'anesthésie générale à l'échelle atomique par modélisation d'un homologue bactérien du récepteur nicotinique humain". Phd thesis, Université Paris-Diderot - Paris VII, 2014. http://tel.archives-ouvertes.fr/tel-01053431.
Texto completoLawrie, Sofía. "Information representation and processing in neuronal networks: from biological to artificial systems and from first to second-order statistics". Doctoral thesis, Universitat Pompeu Fabra, 2022. http://hdl.handle.net/10803/673989.
Texto completoLas redes neuronales se presentan hoy, hipotéticamente, como las responsables de las capacidades computacionales de los sistemas nerviosos biológicos. De la misma manera, los sistemas neuronales artificiales son intensamente explotados en una diversidad de aplicaciones industriales y científicas. No obstante, cómo la información es representada y procesada por estas redes está aún sujeto a debate. Es decir, no está claro qué propiedades de la actividad neuronal son útiles para llevar a cabo computaciones. En esta tesis, presento un conjunto de resultados que relaciona el primer orden estadístico de la actividad neuronal con comportamiento, en el contexto general de codificación/decodificación, para analizar datos recolectados mientras primates no humanos realizaban una tarea de memoria de trabajo. Subsecuentemente, voy más allá del primer orden y muestro que las estadísticas de segundo orden en computación de reservorios, un modelo de red neuronal artificial y recurrente, constituyen un candidato robusto para la representación y transmisión de información con el fin de clasificar señales multidimensionales.
Carvalho, Ricardo de. "Controle estatístico de processo da produção da suspensão viral da vacina contra a febre amarela fabricada por Bio-Manguinhos/FIOCRUZ". Instituto de Tecnologia em Imunobiológicos, 2005. https://www.arca.fiocruz.br/handle/icict/5793.
Texto completoMade available in DSpace on 2012-11-12T18:43:04Z (GMT). No. of bitstreams: 1 ricardo-de-carvalho.pdf: 1945198 bytes, checksum: 8586b33e6fabb5d0036c0443e9c26caa (MD5) Previous issue date: 2005
Fundação Oswaldo Cruz. Instituto de Tecnologia em Imunobiológicos. Rio de Janeiro, RJ, Brasil / Fundação Oswaldo Cruz. Instituto Oswaldo Cruz Rio de Janeiro, RJ, Brasil.
Esta dissertação investiga a aplicação do Controle Estatístico de Processo (CEP) nas principais fases da produção da suspensão viral (SV) da vacina contra febre amarela produzida em Bio-Manguinhos/FIOCRUZ, Brasil. Empregada na formulação do produto final, a SV é preparada em várias etapas, utilizando a tecnologia aperfeiçoada no Brasil (egg passage), desde 1937. O sistema de CEP implantado está baseado em recursos computacionais, perfeitamente adaptados à realidadeda Instituição. Os gráficos de controle foram a principal ferramenta estatística empregada.Sete variáveis relativas às etapas da produção da SV foram estudadas: perdas de ovos no transporte; ovos não embrionados; embriões mortos na primeira incubação; perdas na inoculação; embriões mortos na segunda incubação; perdas na coleta de embriões e rendimento na coleta de embriões. Dentre as variáveis investigadas, perdas por transporte e fertilidade dos ovos não sofrem interferência direta da produção, porém são de fundamental importância para as fases seguintes e, por esse motivo, foram estudadas. Os resultados mostraram que seis variáveis, das sete analisadas, apresentaram resultados sob controle, ainda que duas delas não tenham atendido a uma das regras sensibilizantes estabelecidas: ovos não embrionados e perdas na coleta. A variável rendimento ficou caracterizada como não controlada.Em relação à capacidade, os processos de transporte de ovos e ovos não embrionados foram classificados como processos incapazes (Cpk< 1,00). Os processos com as variáveis embriões mortos na primeira incubação e perdas na inoculação foram considerados como relativamentecapazes (1,00 ≤Cpk < 1,33) e, finalmente, os processos com variáveis embriões mortos na segunda incubação e perdas na coleta foram considerados capazes (Cpk ≥1,33). Pela análise do conjunto, os resultados indicam a necessidade de ajustes, intensificação e controle contínuo dos processos que estão sendo praticados.
This work deals with the application of Statistical Control Process (SCP) to the main parts of the production of Viral Suspension (VS) ofthe yellow fever vaccine manufactured by Bio-Manguinhos/FIOCRUZ, Brazil. The VS is used in the formulation of the final product and is prepared in several steps, using a technology (egg passage), which has been being improved in Brazil since 1937. The SCP system used is based on computational resources that are well adapted to the Institution reality. Control graphs were the main statistical tools employed. Seven variables related to the productionof the VS were investigated: transporting losses of eggs; non-germinated eggs; dead embryos during the first incubation; losses during inoculation; dead embryos during the second incubation; losses during embryo collect and efficiency in collecting embryo. Among the studied variables, transporting losses and fertility of eggs do not relate directly to the production, but are of fundamental importance for the subsequent steps, and were also studied for this reason. The results showed that six out of seven analyzed variables were under control, although two of them did not attend one of the established sensitivity rules: non germinated eggs and losses in collecting. Efficiency ended up characterized as a non-controlled variable. As far as capacity is concerned, transporting of eggs and non-germinated eggs were classified as uncapable processes (Cpk < 1,00). Dead embryos during the first incubation and losses during inoculation were considered as relatively capable processes (1,00 ≤Cpk < 1,33). Finally, dead embryos during the second incubation and losses in collecting embryo were considered capable processes (Cpk ≥1,33). The results, thus, show a necessity of adjustments,intensification and continuous control of the currently used processes.
"A Study on Optimization Measurement Policies for Quality Control Improvements in Gene Therapy Manufacturing". Master's thesis, 2020. http://hdl.handle.net/2286/R.I.62668.
Texto completoDissertation/Thesis
Masters Thesis Industrial Engineering 2020
Srinath, M. "Simulation modelling in marine fisheries for fish stock assessment a bio-statistical analysis". Thesis, 1996. http://eprints.cmfri.org.in/6948/1/TH-58_Sri.pdf.
Texto completoOdhiambo, Nancy. "The role of immune-genetic factors in modelling longitudinally measured HIV bio-markers including the handling of missing data". Thesis, 2013. http://hdl.handle.net/10413/10277.
Texto completoThesis (M.Sc.)-University of KwaZulu-Natal, Pietermaritzburg, 2013.
Sun, Ruoxi. "Modern Statistical/Machine Learning Techniques for Bio/Neuro-imaging Applications". Thesis, 2019. https://doi.org/10.7916/d8-jeqq-bn37.
Texto completoKleinman, Claudia L. "Statistical potentials for evolutionary studies". Thèse, 2010. http://hdl.handle.net/1866/5185.
Texto completoProtein sequences are the net result of the interplay of mutation, natural selection and stochastic variation. Probabilistic models of molecular evolution accounting for these processes have been substantially improved over the last years. In particular, models that explicitly incorporate protein structure and site interdependencies have recently been developed, as well as statistical tools for assessing their performance. Despite major advances in this direction, only simple representations of protein structure have been used so far. In this context, the main theme of this dissertation has been the modeling of three-dimensional protein structure for evolutionary studies, taking into account the limitations imposed by computationally demanding phylogenetic methods. First, a general statistical framework for optimizing the parameters of a statistical potential (an energy-like scoring system for sequence-structure compatibility) is presented. The functional form of the potential is then refined, increasing the detail of structural description without inflating computational costs. Always at the residue-level, several structural elements are investigated: pairwise distance interactions, solvent accessibility, backbone conformation and flexibility of the residues. The potentials are then included into an evolutionary model and their performance is assessed in terms of model fit, compared to standard evolutionary models. Finally, this new structurally constrained phylogenetic model is used to better understand the selective forces behind the differences in conservation found in genes of very different expression levels.