Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Deasy, Jacob"'
Fine-tuning Protein Language Models with Deep Mutational Scanning improves Variant Effect Prediction
Autor:
Lafita, Aleix, Gonzalez, Ferran, Hossam, Mahmoud, Smyth, Paul, Deasy, Jacob, Allyn-Feuer, Ari, Seaton, Daniel, Young, Stephen
Protein Language Models (PLMs) have emerged as performant and scalable tools for predicting the functional impact and clinical significance of protein-coding variants, but they still lag experimental accuracy. Here, we present a novel fine-tuning app
Externí odkaz:
http://arxiv.org/abs/2405.06729
Sequence modelling approaches for epigenetic profile prediction have recently expanded in terms of sequence length, model size, and profile diversity. However, current models cannot infer on many experimentally feasible tissue and assay pairs due to
Externí odkaz:
http://arxiv.org/abs/2308.11671
Score-based model research in the last few years has produced state of the art generative models by employing Gaussian denoising score-matching (DSM). However, the Gaussian noise assumption has several high-dimensional limitations, motivating a more
Externí odkaz:
http://arxiv.org/abs/2112.09788
We examine the problem of controlling divergences for latent space regularisation in variational autoencoders. Specifically, when aiming to reconstruct example $x\in\mathbb{R}^{m}$ via latent space $z\in\mathbb{R}^{n}$ ($n\leq m$), while balancing th
Externí odkaz:
http://arxiv.org/abs/2006.10599
In realistic scenarios, multivariate timeseries evolve over case-by-case time-scales. This is particularly clear in medicine, where the rate of clinical events varies by ward, patient, and application. Increasingly complex models have been shown to e
Externí odkaz:
http://arxiv.org/abs/2003.02554
In this work we introduce the r-Hunter-Saxton equation, a generalisation of the Hunter-Saxton equation arising as extremals of an action principle posed in L_r. We characterise solutions to the Cauchy problem, quantifying the blow-up time and studyin
Externí odkaz:
http://arxiv.org/abs/1911.09619
Dynamic assessment of patient status (e.g. by an automated, continuously updated assessment of outcome) in the Intensive Care Unit (ICU) is of paramount importance for early alerting, decision support and resource allocation. Extraction and cleaning
Externí odkaz:
http://arxiv.org/abs/1909.08981
We present a machine learning pipeline and model that uses the entire uncurated EHR for prediction of in-hospital mortality at arbitrary time intervals, using all available chart, lab and output events, without the need for pre-processing or feature
Externí odkaz:
http://arxiv.org/abs/1909.07214
Autor:
Deasy, Jacob
The current generation of deep neural network-based models demonstrate tremendous capacity to learn distributions at scale. Given this success, deep learning and deep generative modelling have progressively been applied across a broader range of incr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69e29f0dbc7eef108d107c3e354f517c
Publikováno v:
Scientific Reports. 12/17/2020, Vol. 10 Issue 1, p1-11. 11p.