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Leon Furchtgott
Leon Furchtgott
Verified email at fas.harvard.edu
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Cited by
Year
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
4452011
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
1372017
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
1332012
Mechanisms for Maintaining Cell-Shape in Rod-Shaped Gram-Negative Bacteria
L Furchtgott, NS Wingreen, KC Huang
Biophysical Journal 100 (3), 514a, 2011
1302011
A model of liver regeneration
LA Furchtgott, CC Chow, V Periwal
Biophysical journal 96 (10), 3926-3935, 2009
812009
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
512017
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
352017
Biological proton pumping in an oscillating electric field
YC Kim, LA Furchtgott, G Hummer
Physical review letters 103 (26), 268102, 2009
142009
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
52017
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
42018
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
22018
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
12023
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
12017
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, ...
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Articles 1–19