Now showing items 475-494 of 982

    • Longest Cycle Above Erdös-Gallai Bound 

      Fomin, Fedor; Golovach, Petr; Sagunov, Danil; Simonov, Kirill (Journal article; Peer reviewed, 2022)
      In 1959, Erdős and Gallai proved that every graph G with average vertex degree ad(G) ≥ 2 contains a cycle of length at least ad(G). We provide an algorithm that for k ≥ 0 in time 2^𝒪(k)⋅n^𝒪(1) decides whether a 2-connected ...
    • Longitudinal visualization for exploratory analysis of multiple sclerosis lesions 

      Sugathan, Sherin; Bartsch, Hauke; Riemer, Frank; Grüner, Eli Renate; Lawonn, Kai; Smit, Noeska Natasja (Journal article; Peer reviewed, 2022)
      In multiple sclerosis (MS), the amount of brain damage, anatomical location, shape, and changes are important aspects that help medical researchers and clinicians to understand the temporal patterns of the disease. Interactive ...
    • Looking at the Stars 

      Prieto, Elena; Sloper, Christian (Journal article, 2006-02-28)
      The problem of packing k vertex-disjoint copies of a graph H into another graph G is NP-complete if H has more than two vertices in some connected component. In the framework of parameterized complexity we analyze a ...
    • Loop-checking and the uniform word problem for join-semilattices with an inflationary endomorphism 

      Bezem, Marc; Coquand, Thierry (Journal article; Peer reviewed, 2022)
      We solve in polynomial time two decision problems that occur in type checking when typings depend on universe level constraints.
    • Loss-function learning for cell type mapping of spatial transcriptomics using single-cell RNA-seq data 

      Skaar, Ørjan Løseth (Master thesis, 2023-06-01)
      Breast cancers are complex cellular ecosystems consisting of multiple cell types. Heterotypic interactions and their unique gene expression profiles play central roles in cancer progression and response to therapy. However, ...
    • Lossy Kernelization of Same-Size Clustering 

      Bandyapadhyay, Sayan; Fomin, Fedor; Golovach, Petr; Purohit, Nidhi; Simonov, Kirill (Journal article; Peer reviewed, 2023)
      In this work, we study the k-median clustering problem with an additional equal-size constraint on the clusters from the perspective of parameterized preprocessing. Our main result is the first lossy (2-approximate) ...
    • Low-Rank Binary Matrix Approximation in Column-Sum Norm 

      Fomin, Fedor; Golovach, Petr; Panolan, Fahad; Simonov, Kirill (Journal article; Peer reviewed, 2020)
      We consider 𝓁₁-Rank-r Approximation over {GF}(2), where for a binary m× n matrix 𝐀 and a positive integer constant r, one seeks a binary matrix 𝐁 of rank at most r, minimizing the column-sum norm ‖ 𝐀 -𝐁‖₁. We show ...
    • Low-Rank Parity-Check codes : Generalization and Improved Decoding for Low-Rank Parity-Check Codes 

      Franch, Ermes (Doctoral thesis, 2024-08-23)
      I 1978 foreslo McEliece en kryptografisk nøkkelforankringsmekanisme basert på kodeteori. Det underliggende matematiske problemet med å dekode en tilfeldig lineær kode ble bevist å være NP-fullstendig av McEliece og Berlekamp ...
    • Lower bounds on the size of spheres of permutations under the Chebychev distance 

      Kløve, Torleiv (Peer reviewed; Journal article, 2011)
      Lower bounds on the number of permutations p of {1, 2, . . . , n} satisfying |pi − i| ≤ d for all i are given
    • Machine Learning Approaches for Biomarker Discovery Using Gene Expression Data 

      Zhang, Xiaokang; Jonassen, Inge; Goksøyr, Anders (Chapter, 2021)
      Biomarkers are of great importance in many fields, such as cancer research, toxicology, diagnosis and treatment of diseases, and to better understand biological response mechanisms to internal or external intervention. ...
    • Machine learning approaches for high-dimensional genome-wide association studies 

      Malik, Muhammad Ammar (Doctoral thesis, 2022-08-24)
      Formålet med Genome-wide association studies (GWAS) er å finne statistiske sammenhenger mellom genetiske varianter og egenskaper av interesser. De genetiske variantene som forklarer mye av variasjonene i genomfattende ...
    • Machine Learning methods for mood disorder decision support 

      Oleksy, Tomasz Artur (Master thesis, 2017-07-11)
    • Macrophage phenotype transitions in a stochastic gene-regulatory network model 

      Frank, Anna-Simone Josefine; Larripa, Kamila; Ryu, Hwayeon; Röblitz, Susanna (Journal article; Peer reviewed, 2023)
      Polarization is the process by which a macrophage cell commits to a phenotype based on external signal stimulation. To know how this process is affected by random fluctuations and events within a cell is of utmost importance ...
    • Macroscale mesenchymal condensation to study cytokine-driven cellular and matrix-related changes during cartilage degradation 

      Weber, Marie-Christin; Fischer, Lisa; Damerau, Alexandra; Ponomarev, Igor; Pfeiffenberger, Moritz; Gaber, Timo; Götschel, Sebastian; Lang, Jens; Röblitz, Susanna; Buttgereit, Frank; Ehrig, Rainald; Lang, Annemarie (Journal article; Peer reviewed, 2020)
      Understanding the pathophysiological processes of cartilage degradation requires adequate model systems to develop therapeutic strategies towards osteoarthritis (OA). Although different in vitro or in vivo models have been ...
    • Making the BKW Algorithm Practical for LWE 

      Budroni, Alessandro; Guo, Qian; Johansson, Thomas; Mårtensson, Erik; Stankovski Wagner, Paul (Journal article; Peer reviewed, 2020)
      The Learning with Errors (LWE) problem is one of the main mathematical foundations of post-quantum cryptography. One of the main groups of algorithms for solving LWE is the Blum-Kalai-Wasserman (BKW) algorithm. This paper ...
    • The male germ cell gene regulator CTCFL is functionally different from CTCF and binds CTCF-like consensus sites in a nucleosome composition-dependent manner 

      Sleutels, Frank; Soochit, Widia; Bartkuhn, Marek; Heath, Helen; Dienstbach, Sven; Bergmaier, Philipp; Franke, Vedran; Rosa-Garrido, Manuel; van de Nobelen, Suzanne; Caesar, Lisa; van der Reijden, Michael I.J.A.; Bryne, Jan Christian; van Ijcken, Wilfred F.J.; Grootegoed, J. Anton; Delgado, M. Dolores; Lenhard, Boris; Renkawitz, Rainer; Grosveld, Frank; Galjart, Niels (Peer reviewed; Journal article, 2012-06-18)
      Background: CTCF is a highly conserved and essential zinc finger protein expressed in virtually all cell types. In conjunction with cohesin, it organizes chromatin into loops, thereby regulating gene expression and epigenetic ...
    • Managing spatial selections with contextual snapshots 

      Mindek, Peter; Gröller, Eduard; Bruckner, Stefan (Peer reviewed; Journal article, 2014-12)
      Spatial selections are a ubiquitous concept in visualization. By localizing particular features, they can be analysed and compared in different views. However, the semantics of such selections often depend on specific ...
    • Mandatory or Voluntary Course Work in Introductory Programming Courses? 

      Bolland, Sondre Sæther; Eide, Tyra Fosheim; Strømme, Torstein Jarl Fagerbakke (Journal article; Peer reviewed, 2023)
      Which approach, mandatory or voluntary weekly labs, is more conducive to student learning? We conducted a quasi-experiment in a bachelor level programming course (CS2) at the Department of Informatics at the University of ...
    • Market equilibria and money 

      Flåm, Sjur Didrik (Journal article; Peer reviewed, 2021)
      By the first welfare theorem, competitive market equilibria belong to the core and hence are Pareto optimal. Letting money be a commodity, this paper turns these two inclusions around. More precisely, by generalizing the ...
    • MassAnalyzer, a program to help find labeled peptides and compare them to their unlabeled counterparts in a SILAC experiment 

      Narrevik, Tommy (Master thesis, 2008-11-27)
      Mass spectrometry(MS) have become an increasingly popular analysis method for high throughput experiments on proteins in biology. SILAC(stable isotope labeling by amino acids in cell culture) is a method within MS that ...