bioRxiv/medRxiv TRiP Review Activity

37 Reviews — EMBO Press — Bioinformatics

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CellMixS: quantifying and visualizing batch effects in single cell RNA-seq data
Luetge, A., Zyprych-Walczak, J., Brykczynska Kunzmann, U., Crowell, H. L., Calini, D., Malhotra, D., Soneson, C., Robinson, M. D.
10.1101/2020.12.11.420885 — Posted: 2020-12-11 — Discussion: 2021-04-06  EMBO Press
PieParty: Visualizing cells from scRNA-seq data as pie charts
Kurtenbach, S., Dollar, J. J., Durante, M. A., Harbour, J. W.
10.1101/2020.08.25.267021 — Posted: 2020-08-26 — Discussion: 2021-04-02  EMBO Press
DOMINO: a novel network-based module detection algorithm with reduced rate offalse calls
Levi, H., Elkon, R., Shamir, R.
10.1101/2020.03.10.984963 — Posted: 2020-03-11 — Discussion: 2021-02-25  EMBO Press
Causal integration of multi-omics data with prior knowledge to generate mechanistic hypotheses
dugourd, A., Kuppe, C., Sciacovelli, M., Gjerga, E., Emdal, K. B., Bekker-Jensen, D. B., Kranz, J., Bindels, E. J. M., Costa, S., Olsen, J. V., Frezza, C., Kramann, R., Saez-Rodriguez, J.
10.1101/2020.04.23.057893 — Posted: 2020-04-25 — Discussion: 2021-02-25  EMBO Press
Harmonization and Annotation of Single-cell Transcriptomics data with Deep Generative Models
Xu, C., Lopez, R., Mehlman, E., Regier, J., Jordan, M. I., Yosef, N.
10.1101/532895 — Posted: 2019-01-29 — Discussion: 2021-02-25  EMBO Press
multicrispr: fast gRNA designer enables prime editing and parallel targeting of thousands of targets
Bhagwat, A. M., Graumann, J., Wiegandt, R., Bentsen, M., Kuenne, C., Preussner, J., Braun, T., Looso, M.
10.1101/2020.04.15.042861 — Posted: 2020-04-16 — Discussion: 2020-10-06  EMBO Press
Predicting antigen-specificity of single T-cells based on TCR CDR3 regions
Fischer, D. S., Wu, Y., Schubert, B., Theis, F. J.
10.1101/734053 — Posted: 2019-08-14 — Discussion: 2020-10-06  EMBO Press
Predicting gene regulatory networks from cell atlases
Moller, A. F., Natarajan, K. N.
10.1101/2020.08.21.261735 — Posted: 2020-08-24 — Discussion: 2020-10-06  EMBO Press
Evaluation of colorectal cancer subtypes and cell lines using deep learning
Ronen, J., Hayat, S., Akalin, A.
10.1101/464743 — Posted: 2018-11-07 — Discussion: 2020-07-15  EMBO Press
Using deep mutational scanning data to benchmark computational phenotype predictors and identify pathogenic missense mutations
Livesey, B. J., Marsh, J. A.
10.1101/855957 — Posted: 2019-11-26 — Discussion: 2020-07-15  EMBO Press

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