Search Results - "Moret, Michael"

Automated Gleason grading of prostate cancer tissue microarrays via deep learning by Arvaniti, Eirini, Fricker, Kim S., Moret, Michael, Rupp, Niels, Hermanns, Thomas, Fankhauser, Christian, Wey, Norbert, Wild, Peter J., Rüschoff, Jan H., Claassen, Manfred

“…The Gleason grading system remains the most powerful prognostic predictor for patients with prostate cancer since the 1960s. Its application requires…”
Get full text

Leveraging molecular structure and bioactivity with chemical language models for de novo drug design by Moret, Michael, Pachon Angona, Irene, Cotos, Leandro, Yan, Shen, Atz, Kenneth, Brunner, Cyrill, Baumgartner, Martin, Grisoni, Francesca, Schneider, Gisbert

“…Generative chemical language models (CLMs) can be used for de novo molecular structure generation by learning from a textual representation of molecules. Here,…”
Get full text

Uncertainty reduction in biochemical kinetic models: Enforcing desired model properties by Miskovic, Ljubisa, Béal, Jonas, Moret, Michael, Hatzimanikatis, Vassily

“…A persistent obstacle for constructing kinetic models of metabolism is uncertainty in the kinetic properties of enzymes. Currently, available methods for…”
Get full text

Algorithms for Autonomous Formation of Multicellular Shapes from Single Cells by Appleton, Evan, Mehdipour, Noushin, Daifuku, Tristan, Briers, Demarcus, Haghighi, Iman, Moret, Michaël, Chao, George, Wannier, Timothy, Chiappino-Pepe, Anush, Huang, Jeremy, Belta, Calin, Church, George M.

“…Multicellular organisms originate from a single cell, ultimately giving rise to mature organisms of heterogeneous cell type composition in complex structures…”
Get full text

Author Correction: Automated Gleason grading of prostate cancer tissue microarrays via deep learning by Arvaniti, Eirini, Fricker, Kim S., Moret, Michael, Rupp, Niels, Hermanns, Thomas, Fankhauser, Christian, Wey, Norbert, Wild, Peter J., Rüschoff, Jan H., Claassen, Manfred

Get full text

Bidirectional Molecule Generation with Recurrent Neural Networks by Grisoni, Francesca, Moret, Michael, Lingwood, Robin, Schneider, Gisbert

“…Recurrent neural networks (RNNs) are able to generate de novo molecular designs using simplified molecular input line entry systems (SMILES) string…”
Get full text

Beam Search for Automated Design and Scoring of Novel ROR Ligands with Machine Intelligence by Moret, Michael, Helmstädter, Moritz, Grisoni, Francesca, Schneider, Gisbert, Merk, Daniel

“…Chemical language models enable de novo drug design without the requirement for explicit molecular construction rules. While such models have been applied to…”
Get full text

Perplexity-Based Molecule Ranking and Bias Estimation of Chemical Language Models by Moret, Michael, Grisoni, Francesca, Katzberger, Paul, Schneider, Gisbert

“…Chemical language models (CLMs) can be employed to design molecules with desired properties. CLMs generate new chemical structures in the form of textual…”
Get full text

Generative molecular design in low data regimes by Moret, Michael, Friedrich, Lukas, Grisoni, Francesca, Merk, Daniel, Schneider, Gisbert

“…Generative machine learning models sample molecules from chemical space without the need for explicit design rules. To enable the generative design of…”
Get full text

Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks by Choudhury, Subham, Moret, Michael, Salvy, Pierre, Weilandt, Daniel, Hatzimanikatis, Vassily, Miskovic, Ljubisa

“…Kinetic models of metabolism relate metabolic fluxes, metabolite concentrations and enzyme levels through mechanistic relations, rendering them essential for…”
Get full text

Combining generative artificial intelligence and on-chip synthesis for de novo drug design by Grisoni, Francesca, Huisman, Berend J H, Button, Alexander L, Moret, Michael, Atz, Kenneth, Merk, Daniel, Schneider, Gisbert

“…Automating the molecular design-make-test-analyze cycle accelerates hit and lead finding for drug discovery. Using deep learning for molecular design and a…”
Get full text

Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states by Choudhury, Subham, Narayanan, Bharath, Moret, Michael, Hatzimanikatis, Vassily, Miskovic, Ljubisa

“…Generating large omics datasets has become routine for gaining insights into cellular processes, yet deciphering these datasets to determine metabolic states…”
Get full text

Beam‐Search zum automatisierten Entwurf und Scoring neuer ROR‐Liganden mithilfe maschineller Intelligenz by Moret, Michael, Helmstädter, Moritz, Grisoni, Francesca, Schneider, Gisbert, Merk, Daniel

“…Chemische Sprachmodelle ermöglichen ein De‐novo‐Wirkstoff‐Design ohne explizite chemische Konstruktionsregeln. Während solche Modelle angewendet wurden, um…”
Get full text

Author Correction: Automated Gleason grading of prostate cancer tissue microarrays via deep learning by Arvaniti, Eirini, Fricker, Kim S., Moret, Michael, Rupp, Niels, Hermanns, Thomas, Fankhauser, Christian, Wey, Norbert, Wild, Peter J., Rüschoff, Jan H., Claassen, Manfred

“…A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper…”
Get full text

Attainment, alignment, and economic opportunity in America: Linkages between higher education and the labor market by Moret, Stephen Michael

“…Freshmen at baccalaureate-granting institutions cite being able to secure a more attractive job and earn a higher income among the most important factors that…”
Get full text