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Daniel Tranchina

Professor Of Biology & Math & Neural Science

    1976 …2019
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    Fingerprint Weighted list of dominant concepts in the researcher's publications (titles and abstracts).

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    Research Output 1976 2019

    A complete statistical model for calibration of RNA-seq counts using external spike-ins and maximum likelihood theory

    Athanasiadou, R., Neymotin, B., Brandt, N., Wang, W., Christiaen, L., Gresham, D. & Tranchina, D., Mar 1 2019, In : PLoS computational biology. 15, 3, p. e1006794

    Research output: Contribution to journalArticle

    Open Access
    Statistical Models
    statistical models
    RNA
    Spike
    Calibration

    Water impacts nutrient dose responses genome-wide to affect crop production

    Swift, J., Adame, M., Tranchina, D., Henry, A. & Coruzzi, G., Dec 1 2019, In : Nature Communications. 10, 1, 1374.

    Research output: Contribution to journalArticle

    Open Access
    genome
    crops
    nutrients
    Nutrients
    Crops

    Kinetics of inhibitory feedback from horizontal cells to photoreceptors: Implications for an ephaptic mechanism

    Warren, T. J., Van Hook, M. J., Tranchina, D. & Thoreson, W. B., Sep 28 2016, In : Journal of Neuroscience. 36, 39, p. 10075-10088 14 p.

    Research output: Contribution to journalArticle

    Photoreceptor Cells
    Ambystoma
    Vertebrate Photoreceptor Cells
    Presynaptic Terminals
    Synapses

    An alternating renewal process describes the buildup of perceptual segregation

    Steele, S. A., Tranchina, D. & Rinze, J., 2015, In : Frontiers in Computational Neuroscience. 8, JAN, p. 1-13 13 p., 166.

    Research output: Contribution to journalArticle

    Statistical Models
    History
    Acoustics
    Population

    A unified framework and method for automatic neural spike identification

    Ekanadham, C., Tranchina, D. & Simoncelli, E. P., Jan 30 2014, In : Journal of Neuroscience Methods. 222, p. 47-55 9 p.

    Research output: Contribution to journalArticle

    Cluster Analysis
    Electrodes
    Benchmarking
    Statistical Models
    Action Potentials