The bacterial actin MreB rotates, and rotation depends on cell-wall assembly S Van Teeffelen, S Wang, L Furchtgott, KC Huang, NS Wingreen, ... Proceedings of the National Academy of Sciences 108 (38), 15822-15827, 2011 | 465 | 2011 |
A single-cell roadmap of lineage bifurcation in human ESC models of embryonic brain development Z Yao, JK Mich, S Ku, V Menon, AR Krostag, RA Martinez, L Furchtgott, ... Cell stem cell 20 (1), 120-134, 2017 | 158 | 2017 |
Mechanisms for Maintaining Cell-Shape in Rod-Shaped Gram-Negative Bacteria L Furchtgott, NS Wingreen, KC Huang Biophysical Journal 100 (3), 514a, 2011 | 145 | 2011 |
Helical insertion of peptidoglycan produces chiral ordering of the bacterial cell wall S Wang, L Furchtgott, KC Huang, JW Shaevitz Proceedings of the National Academy of Sciences 109 (10), E595-E604, 2012 | 134 | 2012 |
A model of liver regeneration LA Furchtgott, CC Chow, V Periwal Biophysical journal 96 (10), 3926-3935, 2009 | 89 | 2009 |
Dynamics of embryonic stem cell differentiation inferred from single-cell transcriptomics show a series of transitions through discrete cell states S Jang, S Choubey, L Furchtgott, LN Zou, A Doyle, V Menon, EB Loew, ... elife 6, e20487, 2017 | 55 | 2017 |
Discovering sparse transcription factor codes for cell states and state transitions during development LA Furchtgott, S Melton, V Menon, S Ramanathan Elife 6, e20488, 2017 | 38 | 2017 |
Biological proton pumping in an oscillating electric field YC Kim, LA Furchtgott, G Hummer Physical review letters 103 (26), 268102, 2009 | 14 | 2009 |
Multiple myeloma drivers of high risk and response to stem cell transplantation identified by causal machine learning: out-of-cohort and experimental validation L Furchtgott, A Bolomsky, F Gruber, MK Samur, JJ Keats, J Yesil, ... Blood 130, 3029, 2017 | 7 | 2017 |
Preclinical validation studies support causal machine learning based identification of novel drug targets for high-risk multiple myeloma A Bolomsky, F Gruber, K Stangelberger, L Furchtgott, D Arnold, P Raut, ... Blood 132, 3210, 2018 | 4 | 2018 |
Bayesian network analysis of panomic biological big data identifies the importance of triglyceride-rich LDL in atherosclerosis development S Voros, AT Bansal, MR Barnes, J Narula, P Maurovich-Horvat, ... Frontiers in Cardiovascular Medicine 9, 960419, 2023 | 3 | 2023 |
Causal modeling of CALGB/SWOG 80405 (Alliance) identifies primary (1°) side-related angiogenic drivers of metastatic colorectal cancer (mCRC) RK Das, L Furchtgott, FS Ou, D Swanson, B Hayete, B Harms, D Cunha, ... Annals of Oncology 29, viii152, 2018 | 2 | 2018 |
Statistical modeling of CALGB 80405 (Alliance) to identify influential factors in metastatic colorectal cancer (CRC) dependent on primary (1o) tumor side. L Furchtgott, D Swanson, B Hayete, I Khalil, D Wuest, K Rich, AB Nixon, ... Journal of Clinical Oncology 35 (15_suppl), 3528-3528, 2017 | 1 | 2017 |
Causal modeling of CALGB 80405 (Alliance) to identify network drivers of metastatic colorectal cancer (CRC). RK Das, L Furchtgott, JA Meyerhardt, AB Nixon, F Innocenti, D Cunha, ... Journal of Clinical Oncology 36 (15_suppl), 3570-3570, 2018 | | 2018 |
Accurate prediction of clinical disease progression in patients with advanced fibrosis due to NASH using a Bayesian machine learning approach JC Latourelle, J Tu, RK Das, L Furchtgott, B Schoeberl, B Smiechowski, ... Journal of Hepatology 68, S573, 2018 | | 2018 |
Simultaneous Inference of Cell Types, Lineage Trees, and Regulatory Genes From Gene Expression Data LA Furchtgott | | 2016 |
In silico simulations of polymer condensation: the fractal globule as a metastable state L Furchtgott, A Cutkosky, N Tarazi, E Lieberman Aiden APS March Meeting Abstracts 2012, W42. 007, 2012 | | 2012 |
Maintenance Of Bacterial Cell Wall Organization During Growth L Furchtgott | | 2009 |
Statistical modeling of CALGB 80405 (Alliance) identifies influential factors in metastatic colorectal cancer (mCRC) dependent on primary (1o) tumor side L Furchtgott, D Swanson, B Hayete, I Khalil, D Wuest, K Rich, R Miller, ... | | |