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A Two-Step Clustering for 3-D Gene Expression Data Reveals the Main Features of the Arabidopsis Stress Response.

, , , , , , and . J. Integrative Bioinformatics, (2007)

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Interpolating Maps between Neural Response Spaces for Chemosensing with Fruit Fly Antenna Sensors., , , , , and . BIBE, page 718-725. IEEE, (2019)Domain Adaptive Classification for Compensating Variability in Histopathological Whole Slide Images., , , , , and . ICIAR, volume 9730 of Lecture Notes in Computer Science, page 616-622. Springer, (2016)Fast PCA for processing calcium-imaging data from the brain of Drosophila melanogaster., and . BMC Med. Inf. & Decision Making, 12 (S-1): S2 (2012)The looks of an odour - Visualising neural odour response patterns in real time., , , , , , , , and . BMC Bioinformatics, 14 (S-19): S6 (2013)Recovering a Chemotopic Feature Space from a Group of Fruit Fly Antenna Chemosensors., , , , and . BIBE, page 163-169. IEEE, (2018)EDISA: extracting biclusters from multiple time-series of gene expression profiles., , , , and . BMC Bioinformatics, (2007)A Two-Step Clustering for 3-D Gene Expression Data Reveals the Main Features of the Arabidopsis Stress Response., , , , , , and . J. Integrative Bioinformatics, (2007)Registration to a Neuroanatomical Reference Atlas - Identifying Glomeruli in Optical Recordings of the Honeybee Brain., and . German Conference on Bioinformatics, volume P-136 of LNI, page 85-95. GI, (2008)INCIDE the brain of a bee: Visualising honeybee brain activity in real time by semantic segmentation., , , , , , and . BioVis, page 17-24. IEEE Computer Society, (2012)Signal extraction from movies of honeybee brain activity by convex analysis., , and . ICCABS, page 1-6. IEEE Computer Society, (2012)