[PDF] Top 20 Learning from multiple genomic information in cancer for diagnosis and prognosis
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Learning from multiple genomic information in cancer for diagnosis and prognosis
... relapses in breast ...different for both therapies, tumorectomy increases the rates of tumor relapse. In case of relapse, being able to characterize the relapse as either a true recurrence or an ... Voir le document complet
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Rank-based Molecular Prognosis and Network-guided Biomarker Discovery for Breast Cancer
... Nelle, for having helped me a lot during and especially at the beginning of my PhD as an admirable senpai (a senior colleague) to me, for giving me plenty of valuable advice on building a ... Voir le document complet
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Equipment Behavior Modelling for Fault Diagnosis and Deterioration Prognosis in Semiconductor Manufacturing
... algorithm for creating the normal model and even characterizing the abnormal ones, it is necessary to find the optimum level of the ...parameters. In order to adjust the SVM parameters to achieve the ... Voir le document complet
162
Feature selection from gene expression data : molecular signatures for breast cancer prognosis and gene regulation network inference
... community and soon tens of new signatures would be ...problem. In Chapter 2, we set up a benchmark in order to compare 32 feature selection methods in light of the accuracy, stability ... Voir le document complet
171
REQUIREMENTS MONITORING AND DIAGNOSIS FOR IMPROVING ADAPTIVE E-LEARNING SYSTEMS DESIGN
... adaptive learning has significantly improved different aspects of access, most studies have focused on enhancing the adaptation based on user modeling and social learning at the expense of design ... Voir le document complet
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2020 — Feed-forward weakly supervised deep learning models for breast cancer diagnosis from histological images
... μm for light microscopy and 80 − 100nm for electron ...floated in warm water to smooth out any ...xylenes) and the tissue is re-hydrated through a series of solutions in which the ... Voir le document complet
167
Computer Aided Diagnosis System Based on Random Forests for the Prognosis of Alzheimer’s Disease
... our diagnosis system consists in learning a tree ensemble model and attributing a score per AAL region [7] from the mean of the voxel importance scores in each ...region. ... Voir le document complet
4
en fr Sexual health in cancer patients, from diagnosis to survivorship : information, discrepancies and unmet needs Santé sexuelle des patients atteints de cancer, de l'annonce à l'après cancer : information, disparités et besoins non satisfaits
... Institute for Cancer ...du cancer du ...d’un cancer gynécologique, vésical ou rectal peut entraîner un raccourcissement du vagin ou son rétrécissement (en raison d’une perte d’élasticité), une ... Voir le document complet
476
Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training
... methods for medical image enhancement and synthe- sis using deep neural networks (DNN) have been proposed, such as reconstruction of 7T-like T1-w MRI from 3T T1-w MRI [ 4 ] and generation of ... Voir le document complet
9
Using CommonKADS to Build an Expertise Model for Breast Cancer Prognosis and Therapy
... above and the suite of problem types in [ 16, ...breast cancer pa- tient is the sequence of tasks shown in ...fig.2a and fig.2b, diag- nosis includes initial diagnosis and ... Voir le document complet
105
Ontology-Based Approach for Liver Cancer Diagnosis and Treatment
... ontology in this ...extracting information automatically from one image or from a sequence of images in order to assist the diagnosis process or the physician’s ...(CT) ... Voir le document complet
15
Genomic variation in recombination patterns : implications for disease and cancer
... gene and occurs in 20-‐25% of cases, but other translocations are recurrently found such as t(1;19) and t(9;22), with EA2-‐PBX1 and BCR-‐ABL fusion genes, ...(IgH) and the T-‐cell ... Voir le document complet
278
Learning brain alterations in multiple sclerosis from multimodal neuroimaging data
... deep learning techniques [ Sevetlidis, 2016 ; Xiang, 2018 ; Wang, 2018a ] have emerged as a powerful alternative and alleviate the above drawbacks for medical image ...synthesis. For instance, ... Voir le document complet
118
Plant Lectins Targeting O-Glycans at the Cell Surface as Tools for Cancer Diagnosis, Prognosis and Therapy
... isolated from different families of plants and fungi have been characterized as T/Tn-specific lectins (Table 1 ...originated from species belonging to a few predominant families such as Fabaceae (BPA ... Voir le document complet
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Applications of machine learning in cancer prediction and prognosis
... attained for a prospective prediction is impressive, but given the size of the validation set and the small sample-per-feature ratio, some doubt may be cast on the robustness of the ...accuracy. In ... Voir le document complet
20
NetNorM: capturing cancer-relevant information in somatic exome mutation data with gene networks for cancer stratification and prognosis
... of cancer genomic data collected by large-scale sequencing efforts is a press- ing need for clinical ...level, and shed light on the biological processes and potential drug targets ... Voir le document complet
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Learning from genomic data : efficient representations and algorithms.
... learned for two gene expression datasets and an arbitrary split in train/test ...4 in log scale for ...important. In particular, RMA ...(65.86) and gaussian ...increase ... Voir le document complet
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Biomimetic nanocrystalline apatites: Emerging perspectives in cancer diagnosis and treatment
... tissues, and the synthesis of biomimetic analogs is now well-mastered at the ...advances in the fine physico- chemical characterization of these phases enable one to envision original applications in ... Voir le document complet
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Biomimetic nanocrystalline apatites: Emerging perspectives in cancer diagnosis and treatment
... patterns and (b) FTIR spectra for apatite–LMAP composites (3% and 18% LMAP) and for ceramic ...(introduced in varying amounts) dispersed within the apatite matrix was evidenced ... Voir le document complet
12
Modulators and effectors of inositol hexakisphosphate activity in prostate cancer cells : from clinical prognosis to enhanced therapeutics
... author and co-authors if applicable retain copyright ownership and moral rights in this ...extracts from it, may be printed or otherwise reproduced without the author’s ... Voir le document complet
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