A5083372458- Complex Network Analysis Techniques
- Virus-based gene therapy research
- Opinion Dynamics and Social Influence
- Cancer-related Molecular Pathways
- Cancer Research and Treatments
- Complex Systems and Time Series Analysis
- Advanced biosensing and bioanalysis techniques
- Game Theory and Applications
- Cancer Genomics and Diagnostics
- Recommender Systems and Techniques
- Lung Cancer Treatments and Mutations
- RNA Interference and Gene Delivery
- Economic theories and models
- RNA modifications and cancer
- Consumer Market Behavior and Pricing
- Head and Neck Cancer Studies
- Cancer, Hypoxia, and Metabolism
- scientometrics and bibliometrics research
- Chromatin Remodeling and Cancer
- bioluminescence and chemiluminescence research
- Evolutionary Game Theory and Cooperation
- DNA Repair Mechanisms
- MicroRNA in disease regulation
- Molecular Biology Techniques and Applications
- Human Mobility and Location-Based Analysis
University of Bern
2017-2025
University Hospital of Bern
2017-2025
University of Fribourg
2014-2023
University of Electronic Science and Technology of China
2009-2022
University of Koblenz and Landau
2020
One-mode projecting is extensively used to compress bipartite networks. Since one-mode projection always less informative than the representation, a proper weighting method required better retain original information. In this article, inspired by network-based resource-allocation dynamics, we raise which can be directly applied in extracting hidden information of networks, with remarkably performance widely global ranking as well collaborative filtering. This work not only provides...
Recommender systems use data on past user preferences to predict possible future likes and interests. A key challenge is that while the most useful individual recommendations are be found among diverse niche objects, reliably accurate results obtained by methods recommend objects based or object similarity. In this paper we introduce a new algorithm specifically address of diversity show how it can used resolve apparent dilemma when combined in an elegant hybrid with accuracy-focused...
We show that to explain the growth of citation network by preferential attachment (PA), one has accept individual nodes exhibit heterogeneous fitness values decay with time. While previous PA-based models assumed either heterogeneity or in isolation, we propose a simple analytically treatable model combines these two factors. Depending on input assumptions, resulting degree distribution shows an exponential, log-normal power-law decay, which makes apt candidate for modeling wide range real systems.
Information overload in the modern society calls for highly efficient recommendation algorithms. In this letter we present a novel diffusion-based model, with users' ratings built into transition matrix. To speed up computation introduce Green function method. The numerical tests on benchmark database show that our prediction is superior to standard methods.
The study of the organization social networks is important for understanding opinion formation, rumor spreading, and emergence trends fashion. This paper reports empirical analysis extracted from four leading sites with functionality (Delicious, Flickr, Twitter YouTube) shows that they all display a scale-free leadership structure. To reproduce this feature, we propose an adaptive network model driven by recommending. Artificial agent-based simulations highlight "good get richer" mechanism...
The ever-increasing quantity and complexity of scientific production have made it difficult for researchers to keep track advances in their own fields. This, together with growing popularity online communities, calls the development effective information filtering tools. We propose here an algorithm which simultaneously computes reputation users fitness papers a bipartite network representing community. Evaluation on artificially-generated data real from Econophysics Forum is used determine...
Mutational signatures connect characteristic mutational patterns in the genome with biological or chemical processes that take place cancers. Analysis of can help elucidate tumor evolution, prognosis, and therapeutic strategies. Although tools for extracting de novo have been extensively benchmarked, a similar effort is lacking fit known to given catalog mutations. We fill this gap by comprehensively evaluating twelve signature fitting on synthetic catalogs empirically driven weights...
Most news recommender systems try to identify users' interests and news' attributes use them obtain recommendations. Here we propose an adaptive model which combines similarities in rating patterns with epidemic-like spreading of on evolving network. We study the by computer agent-based simulations, measure its performance discuss robustness against bias malicious behavior. Subject approval fraction recommended, proposed outperforms widely adopted recommendation according their absolute or...
Abstract PageRank is arguably the most popular ranking algorithm which being applied in real systems ranging from information to biological and infrastructure networks. Despite its outstanding popularity broad use different areas of science, relation between algorithm’s efficacy properties network on it acts has not yet been fully understood. We study here PageRank’s performance a model supported by data show that realistic temporal effects make fail individuating valuable nodes for range...
Long noncoding RNAs (lncRNAs) are linked to cancer via pathogenic changes in their expression levels. Yet, it remains unclear whether lncRNAs can also impact tumour cell fitness function-altering somatic "driver" mutations. To search for such driver-lncRNAs, we here perform a genome-wide analysis of fitness-altering single nucleotide variants (SNVs) across cohort 2583 primary and 3527 metastatic tumours. The resulting 54 mutated positively-selected significantly enriched previously-reported...
While recent studies implicate that signaling through the receptor tyrosine kinase MET protects cancer cells from DNA damage, molecular events linking to damage response machinery are largely unknown. Here, we studied impact of inhibition by small molecule PHA665752 on cytotoxicity induced DNA-damaging agents. We demonstrate reduces clonogenic survival tumor with overexpression when combined ionizing radiation and synergistically cooperates or adriamycin induce apoptosis. In search...
The recommender system is one of the most promising ways to address information overload problem in online systems. Based on personal historical record, can find interesting and relevant objects for user within a huge space. Many physical processes such as mass diffusion heat conduction have been applied design recommendation algorithms. hybridization these two algorithms has shown provide both accurate diverse results. In this paper, we proposed similarity preferential processes. Extensive...
Online systems where users purchase or collect items of some kind can be effectively represented by temporal bipartite networks both nodes and links are added with time. We use this representation to predict which might become popular in the near future. Various prediction methods evaluated on three distinct datasets originating from online services (Movielens, Netflix, Digg). show that performance further enhanced if user social network is known centrality individual used weight their actions.
<div>Abstract<p>Major risk factors of head and neck squamous cell carcinoma (HNSCC) are tobacco use human papillomavirus (HPV). HPV E6 oncoprotein leads to p53 degradation, whereas HPV-negative cancers frequently associated with <i>TP53</i> mutations. Peposertib is a potent selective, orally administered small-molecule inhibitor the catalytic subunit DNA-dependent kinase (DNA-PKcs), key regulator nonhomologous end joining (NHEJ). NHEJ inhibition along irradiation...
<p>In-vivo tumor growth: (A) In-vivo study treatment setup (Created with BioRender.com) (B) Tumor growth curves for each individual animal (n = 7) in all experimental and groups. (C) Average weight gain (Mean (%) ± SEM) throughout the experiment. (D) Xenograft slices of UD-SCC-2 UM-SCC-74A cell lines stained proliferation apoptosis show opposite staining patterns.</p>
<p>Cell cycle distribution and colony-forming assays: (A-C) Cell data at 7 hours (A), 24 (B), 36 (C) after treatment (p values are not shown). (D) Colony-forming assay (two-way ANOVA with post hoc multiple comparisons. Data is represented as mean ± SEM; *p < 0.05, **p 0.01, ***p 0.001, ****p 0.0001).</p>
<p>Representative images of RAD51 and yH2AX foci in the nucleus (DAPI) UM-SCC-74A (p53 wild-type), UM-SCC-14A (p53-mutated) UM-SCC-104 (HPV+) cell lines 3 h, 24 h 48 hours after treatment.</p>