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12 Grand Challenges in Single-Cell Data Science.

D. Laehnemann, J. Köster, E. Szczurek, D. McCarthy, S. Hicks, M. Robinson, C. Vallejos, N. Beerenwinkel, K. Campbell, A. Mahfouz, L. Pinello, P. Skums, A. Stamatakis, C. Attolini, S. Aparicio, J. Baaijens, M. Balvert, B. de Barbanson, A. Cappuccio, G. Corleone, B. Dutilh, M. Florescu, V. Guryev, R. Holmer, K. Jahn, T. Lobo, E. Keizer, I. Khatri, S. Kielbasa, J. Korbel, A. Kozlov, T. Kuo, B. Lelieveldt, I. Mandoiu, J. Marioni, T. Marschall, F. Mölder, A. Niknejad, L. Raczkowski, M. Reinders, J. de Ridder, A. Saliba, A. Somarakis, O. Stegle, F. Theis, H. Yang, A. Zelikovsky, A. McHardy, B. Raphael, S. Shah, and A. Schönhuth. PeerJ Prepr., (2019)

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Sheila McCarthy

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12 Grand Challenges in Single-Cell Data Science.D. Laehnemann, J. Köster, E. Szczurek, D. McCarthy, S. Hicks, M. Robinson, C. Vallejos, N. Beerenwinkel, K. Campbell, A. Mahfouz and 41 other author(s). PeerJ Prepr., (2019)Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models.C. Wang, Y. Chen, Y. Liu, Y. Tian, F. Liu, D. McCarthy, M. Elliott, H. Frazer, and G. Carneiro. MICCAI (3), volume 13433 of Lecture Notes in Computer Science, page 14-24. Springer, (2022)Eleven grand challenges in single-cell data scienceD. Lähnemann, J. Köster, E. Szczurek, D. McCarthy, S. Hicks, M. Robinson, C. Vallejos, K. Campbell, N. Beerenwinkel, A. Mahfouz and 1 other author(s). Genome biology, 21 (1): 1--35 (2020)Testing significance relative to a fold-change threshold is a TREAT.D. McCarthy, and G. Smyth. Bioinform., 25 (6): 765-771 (2009)Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R.D. McCarthy, K. Campbell, A. Lun, and Q. Wills. Bioinform., 33 (8): 1179-1186 (2017)Technical outlier detection via convolutional variational autoencoder for the ADMANI breast mammogram dataset.H. Li, C. Peña-Solórzano, S. Wei, and D. McCarthy. CoRR, (2023)Count-based differential expression analysis of RNA sequencing data using R and BioconductorS. Anders, D. McCarthy, Y. Chen, M. Okoniewski, G. Smyth, W. Huber, and M. Robinson. Nature Protocols, (August 2013)Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation.Y. Chen, H. Wang, C. Wang, Y. Tian, F. Liu, M. Elliott, D. McCarthy, H. Frazer, and G. Carneiro. CoRR, (2022)BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations.Y. Chen, Y. Liu, C. Wang, M. Elliott, C. Kwok, C. Peña-Solórzano, Y. Tian, F. Liu, H. Frazer, D. McCarthy and 1 other author(s). CoRR, (2023)Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation.Y. Chen, H. Wang, C. Wang, Y. Tian, F. Liu, Y. Liu, M. Elliott, D. McCarthy, H. Frazer, and G. Carneiro. MICCAI (3), volume 13433 of Lecture Notes in Computer Science, page 3-13. Springer, (2022)

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Disambiguation of "McCarthy, Davis J."

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12 Grand Challenges in Single-Cell Data Science.

Please choose a person to relate this publication to

Sheila McCarthy

Carmel McCarthy

Matthew Davis

Richard Davis

Geoffrey Davis

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "McCarthy, Davis J."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML 12 Grand Challenges in Single-Cell Data Science.

Please choose a person to relate this publication to

Sheila McCarthy

Carmel McCarthy

Matthew Davis

Richard Davis

Geoffrey Davis

Other publications of authors with the same name

Disambiguation

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12 Grand Challenges in Single-Cell Data Science.