… fission yeast gene and allele nomenclature guidelines for machine readability Sarah Lambert 11/01/23 Genetics The … Albertas Navickas 07/07/23 Oncogene An mRNA processing pathway suppresses metastasis by governing translational control … 3′-end processing upon DNA damage Rym Sfaxi, Biswendu Biswas, Galina Boldina, Mandy Cadix, Martin Dutertre, Stéphan …
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… spectrum Hybrid computational modeling highlights reverse warburg effect in breast cancer-associated fibroblasts Sahar … network for rheumatoid arthritis combining data-driven machine learning approaches and a state-of-the-art … families. Interaction between risk factors is also investigated. We also develop a computational systems biology …
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… pigment vertical profiles from satellite data using machine learning Sylvie Thiria 04/02/21 Remote Sensing … in the Interplanetary Medium: Evaluation Using SOHO SWAN and MAVEN EUVM Lyman α Measurements E. Quémerais … in the Interplanetary Medium: Evaluation Using SOHO SWAN and MAVEN EUVM Lyman α Measurements E. Quémerais …
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… Journal Self-Building Artificial Intelligence and Machine Learning to Empower Big Data Analytics in Smart … How e-WOM influences consumers' purchase intention towards private label brands on e-commerce platforms: Investigation through IAM (Information Adoption Model) and ELM …
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… and neuroengineering. It also aims to raise students' awareness of the theoretical, experimental, applicative, … (as in Artificial Intelligence, neuromorphic circuits, and machine learning) and to compensate for its dysfunctions … and neuroengineering. It also aims to raise students' awareness of the theoretical, experimental, applicative, …
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… A new boom in additive manufacturing Research (This article was originally published in L'Édition N.19 ) Several … continues to grow. Although the first patent application was in 1984, the technology only really took off in the … without its obstacles. These include the efficiency of the machines, the size of the parts and, above all, their …
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… Thirion-Lefevre 02/08/24 Scientific Reports Through the Wall Radar Imaging via Kronecker-structured Huber-type RPCA … Geoscience and Remote Sensing Symposium (IGARSS) Towards the Understanding of the C-Band Temporal Signature of … Parameters Retrieval from Sentinel-1 Time Series and Machine Learning Thomas Di Martino, Regis Guinvarc'h, …
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… Journal of Pharmacology Pectin in Metabolic Liver Disease Wanchao Hu, Anne Marie Cassard, Dragos Ciocan 01/01/23 … 09/01/22 International Journal of Molecular Sciences Machine learning predicts response to TNF inhibitors in … Trainel, Anne Marie Cassard 01/01/22 Gut Microbes Investigation of inherited chromosomally integrated human …
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… myocardial infarction Rosa Doñate Puertas 01/01/23 Europace Machine learning-based scoring system to predict in-hospital … through ROS-mediated endoplasmic reticulum stress pathway Kevin Monceaux, Anissa Belhadef, Ahmed Karoui, … through ROS-mediated endoplasmic reticulum stress pathway Kevin Monceaux, Anissa Belhadef, Ahmed Karoui, …
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… thérapeutique Biologie bio Analyse Modélisation ML machine learning IA Biostatistiques Public Réservé à … thérapeutique Biologie bio Analyse Modélisation ML machine learning IA Biostatistiques Public Réservé à …
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… for nuclear medicine made 90 years ago This article was originally published in L'Édition n°27. In 1935, Irène … by detectors surrounding the patient, enabling the machine to produce an accurate image of the target area, … the image? That's what scientists have decided to investigate in another study. By mixing 155 Tb and 156 Tb and …
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… when astrophysicists see (infra)red Research (This article was originally published in L'Édition No.17 ) The James … a researcher at the AIM laboratory and principal investigator (PI) for MIRIm. The active cooling system developed for MIRI, based on closed-cycle machines, is a real technical feat. “The optical design of …
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