Results 41 to 50 of about 8,744,617 (299)
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
PCP-ML: Protein characterization package for machine learning [PDF]
BMC Research Notes, 2014 Machine Learning (ML) has a number of demonstrated applications in protein prediction tasks such as protein structure prediction. To speed further development of machine learning based tools and their release to the community, we have developed a package which characterizes several aspects of a protein commonly used for protein prediction tasks with ...
Eickholt, Jesse, Wang, Zheng
openaire +2 more sources
Gut microbiota alterations in patients with non‐small‐cell lung cancer undergoing chemoradiotherapy
Molecular Oncology, EarlyView.We investigated the impact of concurrent chemoradiotherapy (CRT) on the gut microbiota in patients with locally advanced non‐small‐cell lung cancer. Overall gut microbiota composition remained largely stable throughout CRT while antibiotic exposure may influence microbial diversity.
Hanne Marte Nymoen +19 more
wiley +1 more source
Structured Prediction - Beyond Support Vector Machine and Cross Entropy
, 2021 Presented online via Bluejeans Events on September 29, 2021 at 12:15 p.m.Francis Bach is a researcher at INRIA in the Computer Science department of Ecole Normale Supérieure, in Paris, France.
Bach, Francis
core +1 more source
LIVER CANCER PREDICTION USING MACHINE LEARNING (ML) MODELS
Шәкәрім университетінің хабаршысы: Техника ғылымдарA comparative evaluation of machine learning models for predicting liver cancer risk was performed using an open structured clinical dataset. A Kaggle dataset was used in the study (N=5000): target variable Liver_cancer, 13 features (9 numerical, 4 ...
I. B. Karymsakova +4 more
doaj +1 more source
The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection
Molecular Oncology, EarlyView.Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński +12 more
wiley +1 more source
Rethinking PICO in the Machine Learning Era: ML-PICO
Applied Clinical Informatics, 2021 Abstract Background Machine learning (ML) has captured the attention of many clinicians who may not have formal training in this area but are otherwise increasingly exposed to ML literature that may be relevant to their clinical specialties.
Xinran Liu +5 more
openaire +5 more sources
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
The New Machine Leaming Center at GA Tech: Plans end Aspirations
, 2017 Presented at the ML@GT Seminar on March 1, 2017 at 12:00 p.m. in the Marcus Nanotechnology Building, rooms 1117-1118, Georgia Tech.The ML@GT Team also presented at the seminar.Irfan Essa, Associate Dean, is a Professor in the School of Interactive ...
Essa, Irfan
core +1 more source
Machine-Learning-Based Fine Tuning of Input Signals for Mechano-Tactile Display
, 2022 "Encoded Surfaces.zip" contains raw data of piezoelectric sensor output in the encoding of the surfaces. "input_signals_deduced_from_EP_and_ML.zip" contains the input signals for the mechano-tactile-display that were deduced from the encoding-and ...
Norihisa Miki (12891026)
core +1 more source