Repository for Publications and Research Data

Search ETH Zurich’s Research Collection for scientific publications and research data or submit your own research output. Read more


ETH Research Data Management Summer School 2020

Receive an extensive overview on Research Data Management, its principles, its practical implications and on useful tools for early-career scientists. Read more

Research Collection: Statistics January 2020

Since we have been publishing download statistics, the top 5 countries have always been the same – until January 2020. Read more

Research Collection: statistics 2019

We published the first infographic on the use of the Research Collection in April 2019. This year’s first infographic presents the annual review for 2019. Read more

Recently Added 

  1. On effective equidistribution for quotients of SL(d,Double-struck capital R) 

    Aka, Menny; Einsiedler, Manfred; Li, Han; et al. (2020)
    Israel Journal of Mathematics
    Journal Article
  2. Effect of strain on the dark current-voltage characteristic of silicon heterojunction solar cells 

    Guin, L.; Cabarrocas, P. Roca i; Jabbour, M. E.; et al. (2020)
    Journal Article
  3. The Traj2Vec model to quantify residents' spatial trajectories and estimate the proportions of urban land-use types 

    Zhang, Jinbao; Li, Xia; Yao, Yao; et al. (2020)
    Journal Article
  4. CALISTA: Clustering and LINEAGE Inference in Single-Cell Transcriptional Analysis 

    Papili Gao, Nan; Hartmann, Thomas; Fang, Tao; et al. (2020)
    Frontiers in Bioengineering and Biotechnology
    We present Clustering and Lineage Inference in Single-Cell Transcriptional Analysis (CALISTA), a numerically efficient and highly scalable toolbox for an end-to-end analysis of single-cell transcriptomic profiles. CALISTA includes four essential single-cell analyses for cell differentiation studies, including single-cell clustering, reconstruction of cell lineage specification, transition gene identification, and cell pseudotime ordering, ...
    Review Article

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