Publications

CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods

The Critical Assessment of Genome Interpretation Consortium. CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods. Genome Biol 25, 53 (2024). https://doi.org/10.1186/s13059-023-03113-6

Image Reconstruction Improvement of Variable Coded Aperture Using Deep Learning Method for Gamma and Lensless Imaging Applications

A. Schwarz, A. Shemer, E. Danan, N. E. Cohen and Y. Danan, "Image Reconstruction Improvement of Variable Coded Aperture Using Deep Learning Method for Gamma and Lensless Imaging Applications," 2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC), Munich, Germany, 2023, pp. 1-1, doi: 10.1109/CLEO/Europe-EQEC57999.2023.10232678.,

Deep learning method for pinhole array color image reconstruction

Danan E, Cohen NE, Schwarz A, Shemer A, and Danan Y, Deep learning method for pinhole array color image reconstruction, Opt. Lett. 48, 1116-1119 (2023)

Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

Alkhatib, H., Rubinstein, A.M., Vasudevan, S. et al. Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance. Genome Med 14, 120 (2022). https://doi.org/10.1186/s13073-022-01121-y

An open-source computational tool for measuring bacterial biofilm morphology and growth kinetics upon one-sided exposure to an antimicrobial source

Gingichashvili, S., Steinberg, D., Sionov, R.V. et al. An open-source computational tool for measuring bacterial biofilm morphology and growth kinetics upon one-sided exposure to an antimicrobial source. Sci Rep 12, 16125 (2022). https://doi.org/10.1038/s41598-022-20275-8

Assessing predictions of the impact of variants on splicing in CAGI5

Mount SM, Avsec Ž, Carmel L, Casadio R, Çelik MH, Chen K, Cheng J, Cohen NE, Fairbrother WG, Fenesh T, Gagneur J, Gotea V, Holzer T, Lin CF, Martelli PL, Naito T, Nguyen TYD, Savojardo C, Unger R, Wang R, Yang Y, Zhao H. Assessing predictions of the impact of variants on splicing in CAGI5. Hum Mutat. 2019 Sep;40(9):1215-1224. doi: 10.1002/humu.23869. Epub 2019 Aug 19. PMID: 31301154; PMCID: PMC6744318.

The role of reverse transcriptase in intron gain and loss mechanisms

Noa E. Cohen, Roy Shen, Liran Carmel, The Role of Reverse Transcriptase in Intron Gain and Loss Mechanisms, Molecular Biology and Evolution, Volume 29, Issue 1, January 2012, Pages 179–186, https://doi.org/10.1093/molbev/msr192

^* Equal authorship

Noa Cohen