Wapinski, Ilan

Proto-genes and de novo gene birth

Carvunis, A.-R., Rolland, T., Wapinski, I., Calderwood, M. A., Yildirim, M. A., Simonis, N., Charloteaux, B., Hidalgo, C. A., Barbette, J., Santhanam, B., et al. (2012) · Nature

Chromosomal and Genetic VariationsEvolution and Genetic Dynamics

Cited by 669

Natural history and evolutionary principles of gene duplication in fungi

Wapinski, I., Pfeffer, A., Friedman, N., & Regev, A. (2007) · Nature

Fungal and yeast genetics researchChromosomal and Genetic Variations

Cited by 614

Comparative functional genomics of the fission yeasts

Rhind, N., Chen, Z., Yassour, M., Thompson, D. A., Haas, B. J., Habib, N., Wapinski, I., Roy, S., Lin, M. F., Heiman, D. I., et al. (2011) · Science

Fungal and yeast genetics researchGenomics and Phylogenetic Studies

Cited by 484

Combination Therapies Including Cilofexor and Firsocostat for Bridging Fibrosis and Cirrhosis Attributable to NASH

Loomba, R., Noureddin, M., Kowdley, K. V., Kohli, A., Sheikh, A., Neff, G., Bhandari, B. R., Gunn, N., Caldwell, S. H., Goodman, Z., et al. (2021) · Hepatology

Liver Disease Diagnosis and TreatmentLiver Diseases and Immunity

Cited by 296

Evolutionary principles of modular gene regulation in yeasts

Thompson, D. A., Roy, S., Chan, M., Styczynsky, M. P., Pfiffner, J., French, C., Socha, A., Thielke, A., Napolitano, S., Muller, P., et al. (2013) · eLife

Fungal and yeast genetics researchGene Regulatory Network Analysis

Cited by 78

Association of artificial intelligence-powered and manual quantification of programmed death-ligand 1 (PD-L1) expression with outcomes in patients treated with nivolumab ± ipilimumab

Baxi, V., Lee, G., Duan, C., Pandya, D., Cohen, D. N., Edwards, R., Chang, H., Li, J., Elliott, H., Pokkalla, H., et al. (2022) · Modern Pathology

Cancer Immunotherapy and BiomarkersAI in cancer detection

Cited by 66

AI-based automation of enrollment criteria and endpoint assessment in clinical trials in liver diseases

Iyer, J. S., Juyal, D., Le, Q., Shanis, Z., Pokkalla, H., Pouryahya, M., Pedawi, A., Stanford-Moore, S. A., Biddle-Snead, C., Carrasco-Zevallos, O., et al. (2024) · Nature Medicine

Liver Disease Diagnosis and TreatmentArtificial Intelligence in Healthcare and Education

Cited by 54

A functional selection model explains evolutionary robustness despite plasticity in regulatory networks

Habib, N., Wapinski, I., Margalit, H., Regev, A., & Friedman, N. (2012) · Molecular Systems Biology

Fungal and yeast genetics researchGene Regulatory Network Analysis

Cited by 50

Safety and efficacy of combination therapies including cilofexor/ firsocostat in patients with bridging fibrosis and cirrhosis due to NASH: Results of the phase 2b ATLAS trial

Loomba, R., Noureddin, M., Kowdley, K., Kohli, A., Sheikh, A., Neff, G., Bhandari, B. R., Gunn, N. T., Caldwell, S., Goodman, Z., et al. (2020) · Journal of Hepatology

Liver Disease Diagnosis and TreatmentOrgan Transplantation Techniques and Outcomes

Cited by 9