Search results for " BioInformatics."

showing 5 items of 65 documents

Whole mirror duplication-random loss model and pattern avoiding permutations

2010

International audience; In this paper we study the problem of the whole mirror duplication-random loss model in terms of pattern avoiding permutations. We prove that the class of permutations obtained with this model after a given number p of duplications of the identity is the class of permutations avoiding the alternating permutations of length p2+1. We also compute the number of duplications necessary and sufficient to obtain any permutation of length n. We provide two efficient algorithms to reconstitute a possible scenario of whole mirror duplications from identity to any permutation of length n. One of them uses the well-known binary reflected Gray code (Gray, 1953). Other relative mo…

[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]Class (set theory)0206 medical engineeringBinary number0102 computer and information sciences02 engineering and technology[ MATH.MATH-CO ] Mathematics [math]/Combinatorics [math.CO]01 natural sciencesIdentity (music)Combinatorial problemsTheoretical Computer ScienceGray codeCombinatoricsPermutation[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM]Gene duplicationRandom loss[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]Pattern avoiding permutationGenerating algorithmComputingMilieux_MISCELLANEOUSMathematicsDiscrete mathematicsWhole duplication-random loss modelMathematics::CombinatoricsGenomeParity of a permutationComputer Science Applications[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO][ INFO.INFO-CC ] Computer Science [cs]/Computational Complexity [cs.CC]Binary reflected Gray code010201 computation theory & mathematicsSignal Processing[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]020602 bioinformaticsAlgorithmsInformation Systems
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Multi-omics analysis of epithelial-to mesenchymal transition mediators in breast cancer

2022

breast cancer bioinformatics proteomic analysis vimentin cadherinSettore BIO/06 - Anatomia Comparata E Citologia
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A one class classifier for Signal identification: a biological case study

2008

The paper describes an application of a one-class KNN to identify different signal patterns embedded in a noise structured background. The problem become harder whenever only one pattern is well represented in the signal, in such cases one class classifier techniques are more indicated. The classification phase is applied after a preprocessing phase based on a Multi Layer Model (MLM) that provides a preliminary signal segmentation in an interval feature space. The one-class KNN has been tested on synthetic data that simulate microarray data for the identification of nucleosomes and linker regions across DNA. Results have shown a good recognition rate on synthetic data for nucleosome and lin…

business.industryComputer scienceFeature vectorOne-class classificationPattern recognitionSegmentationArtificial intelligencebusinessMulti Layer Method One Class classification Bioinformatics Nucleosome Positioning.Classifier (UML)Synthetic data
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PD-1/PD-L1 immune-checkpoint blockade induces immune effector cell modulation in metastatic non-small cell lung cancer patients: A single-cell flow c…

2022

Peripheral immune-checkpoint blockade with mAbs to programmed cell death receptor-1 (PD-1) (either nivolumab or pembrolizumab) or PD-Ligand-1 (PD-L1) (atezolizumab, durvalumab, or avelumab) alone or in combination with doublet chemotherapy represents an expanding treatment strategy for metastatic non-small cell lung cancer (mNSCLC) patients. This strategy lays on the capability of these mAbs to rescue tumor-specific cytotoxic T lymphocytes (CTLs) inactivated throughout PD-1 binding to PD-L1/2 in the tumor sites. This inhibitory interactive pathway is a physiological mechanism of prevention against dangerous overreactions and autoimmunity in case of prolonged and/or repeated CTL response to …

immune checkpoint inhibitorsCancer Researchimmune systemNSCLOncologybioinformaticNSLCflow cytometryimmune checkpoint inhibitorNKT; NSCL; bioinformatics; flow cytometry; immune checkpoint inhibitorsNKTbioinformaticsPD1.Frontiers in oncology
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SNPs detection by eBWT positional clustering

2019

Sequencing technologies keep on turning cheaper and faster, thus putting a growing pressure for data structures designed to efficiently store raw data, and possibly perform analysis therein. In this view, there is a growing interest in alignment-free and reference-free variants calling methods that only make use of (suitably indexed) raw reads data. We develop the positional clustering theory that (i) describes how the extended Burrows–Wheeler Transform (eBWT) of a collection of reads tends to cluster together bases that cover the same genome position (ii) predicts the size of such clusters, and (iii) exhibits an elegant and precise LCP array based procedure to locate such clusters in the e…

lcsh:QH426-470Computer scienceLCP arrayReference-free[SDV]Life Sciences [q-bio]0206 medical engineeringSequencing dataSNPAssembly-free02 engineering and technologyBWT LCP array SNPs Reference-free Assembly-freecomputer.software_genreSoftwareBWTStructural BiologyComputational Theory and MathematicCluster (physics)Cluster analysislcsh:QH301-705.5Molecular BiologyComputingMilieux_MISCELLANEOUSSettore INF/01 - Informaticabusiness.industryResearchApplied MathematicsLCP arrayData structurePipeline (software)lcsh:GeneticsComputational Theory and Mathematicslcsh:Biology (General)Data miningBWT; LCP array; SNPs; Reference-free; Assembly-free[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]businessRaw datacomputer020602 bioinformaticsSNPs
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