☰

Leon Furchtgott - Publications

Affiliations: 
Harvard University, Cambridge, MA, United States 
Tree Info Similar researchers PubMed Report error

9/16 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2018 Bolomsky A, Gruber F, Stangelberger K, Furchtgott L, Arnold D, Raut P, Wuest D, Runge K, Khalil I, Zojer N, Munshi N, Hayete B, Ludwig H. Preclinical Validation Studies Support Causal Machine Learning Based Identification of Novel Drug Targets for High-Risk Multiple Myeloma Blood. 132: 3210-3210. DOI: 10.1182/Blood-2018-99-117886  0.447
2017 Furchtgott LA, Melton S, Menon V, Ramanathan S. Discovering sparse transcription factor codes for cell states and state transitions during development. Elife. 6. PMID 28296636 DOI: 10.7554/Elife.20488  0.684
2017 Jang S, Choubey S, Furchtgott L, Zou LN, Doyle A, Menon V, Loew EB, Krostag AR, Martinez RA, Madisen L, Levi BP, Ramanathan S. Dynamics of embryonic stem cell differentiation inferred from single-cell transcriptomics show a series of transitions through discrete cell states. Elife. 6. PMID 28296635 DOI: 10.7554/Elife.20487  0.536
2017 Yao Z, Mich JK, Ku S, Menon V, Krostag AR, Martinez RA, Furchtgott L, Mulholland H, Bort S, Fuqua MA, Gregor BW, Hodge RD, Jayabalu A, May RC, Melton S, et al. A Single-Cell Roadmap of Lineage Bifurcation in Human ESC Models of Embryonic Brain Development. Cell Stem Cell. 20: 120-134. PMID 28094016 DOI: 10.1016/J.Stem.2016.09.011  0.661
2017 Furchtgott L, Bolomsky A, Gruber F, Samur MK, Keats JJ, Yesil J, Stangelberger K, Attal M, Moreau P, Avet-Loiseau H, Runge K, Wuest D, Rich K, Khalil I, Hayete B, et al. Multiple Myeloma Drivers of High Risk and Response to Stem Cell Transplantation Identified By Causal Machine Learning: Out-of-Cohort and Experimental Validation Blood. 130: 3029-3029. DOI: 10.1182/Blood.V130.Suppl_1.3029.3029  0.406
2012 Wang S, Furchtgott L, Huang KC, Shaevitz JW. Helical insertion of peptidoglycan produces chiral ordering of the bacterial cell wall. Proceedings of the National Academy of Sciences of the United States of America. 109: E595-604. PMID 22343529 DOI: 10.1073/Pnas.1117132109  0.45
2012 Wingreen N, Furchtgott L, Huang K. Modeling the Shape and Growth of Bacterial Cells Biophysical Journal. 102: 30a. DOI: 10.1016/J.Bpj.2011.11.193  0.487
2011 van Teeffelen S, Wang S, Furchtgott L, Huang KC, Wingreen NS, Shaevitz JW, Gitai Z. The bacterial actin MreB rotates, and rotation depends on cell-wall assembly. Proceedings of the National Academy of Sciences of the United States of America. 108: 15822-7. PMID 21903929 DOI: 10.1073/Pnas.1108999108  0.363
2011 Furchtgott L, Wingreen NS, Huang KC. Mechanisms for maintaining cell shape in rod-shaped Gram-negative bacteria. Molecular Microbiology. 81: 340-53. PMID 21501250 DOI: 10.1111/J.1365-2958.2011.07616.X  0.429
Low-probability matches (unlikely to be authored by this person)
2017 Furchtgott L, Swanson D, Hayete B, Khalil I, Wuest D, Rich K, Nixon AB, Niedzwiecki D, Meyerhardt JA, O'Reilly EM, Ou F, Lenz H, Innocenti F, Venook AP. Statistical modeling of CALGB 80405 (Alliance) to identify influential factors in metastatic colorectal cancer (CRC) dependent on primary (1o) tumor side. Journal of Clinical Oncology. 35: 3528-3528. DOI: 10.1200/Jco.2017.35.15_Suppl.3528  0.261
2018 Das RK, Furchtgott L, Meyerhardt JA, Nixon AB, Innocenti F, Cunha D, Rich K, Lenz H, Niedzwiecki D, O'Reilly EM, Ou F, Latourelle J, Wuest D, Hayete B, Khalil I, et al. Causal modeling of CALGB 80405 (Alliance) to identify network drivers of metastatic colorectal cancer (CRC). Journal of Clinical Oncology. 36: 3570-3570. DOI: 10.1200/Jco.2018.36.15_Suppl.3570  0.243
2018 Latourelle J, Tu J, Das R, Furchtgott L, Schoeberl B, Smiechowski B, Church B, Khalil I, Hayete B, Djedjos S, Nguyen T, Xiao Y, Schall R, Chen G, Subramanian M, et al. Accurate prediction of clinical disease progression in patients with advanced fibrosis due to NASH using a Bayesian machine learning approach Journal of Hepatology. 68: S573. DOI: 10.1016/S0168-8278(18)31404-1  0.221
2018 Das R, Furchtgott L, Ou F, Swanson D, Hayete B, Harms B, Cunha D, Latourelle J, Wuest D, Khalil I, Washburn C, Rich K, Blanke C, Meyerhardt J, Niedzwiecki D, et al. Causal modeling of CALGB/SWOG 80405 (Alliance) identifies primary (1°) side-related angiogenic drivers of metastatic colorectal cancer (mCRC) Annals of Oncology. 29: viii152. DOI: 10.1093/Annonc/Mdy281.006  0.202
2023 Voros S, Bansal AT, Barnes MR, Narula J, Maurovich-Horvat P, Vazquez G, Marvasty IB, Brown BO, Voros ID, Harris W, Voros V, Dayspring T, Neff D, Greenfield A, Furchtgott L, et al. Bayesian network analysis of panomic biological big data identifies the importance of triglyceride-rich LDL in atherosclerosis development. Frontiers in Cardiovascular Medicine. 9: 960419. PMID 36684605 DOI: 10.3389/fcvm.2022.960419  0.162
2009 Kim YC, Furchtgott LA, Hummer G. Biological proton pumping in an oscillating electric field. Physical Review Letters. 103: 268102. PMID 20366348 DOI: 10.1103/Physrevlett.103.268102  0.114
2009 Furchtgott LA, Chow CC, Periwal V. A model of liver regeneration. Biophysical Journal. 96: 3926-35. PMID 19450465 DOI: 10.1016/j.bpj.2009.01.061  0.113
Hide low-probability matches.