Keyword search (4,163 papers available)

"neural network" Keyword-tagged Publications:

Title Authors PubMed ID
1 Tuning Deep Learning for Predicting Aluminum Prices Under Different Sampling: Bayesian Optimization Versus Random Search Alicia Estefania Antonio Figueroa 41751647
CONCORDIA
2 Distinguishing Between Healthy and Unhealthy Newborns Based on Acoustic Features and Deep Learning Neural Networks Tuned by Bayesian Optimization and Random Search Algorithm Lahmiri S; Tadj C; Gargour C; 41294952
ENCS
3 Efficient neural encoding as revealed by bilingualism Moore C; Donhauser PW; Klein D; Byers-Heinlein K; 40828024
PSYCHOLOGY
4 Personalizing brain stimulation: continual learning for sleep spindle detection Sobral M; Jourde HR; Marjani Bajestani SE; Coffey EBJ; Beltrame G; 40609549
PSYCHOLOGY
5 PARPAL: PARalog Protein Redistribution using Abundance and Localization in Yeast Database Greco BM; Zapata G; Dandage R; Papkov M; Pereira V; Lefebvre F; Bourque G; Parts L; Kuzmin E; 40580499
BIOLOGY
6 Distributed adaptive sliding mode control with deep recurrent neural network for cooperative robotic system in automated fiber placement Zhu N; Xie WF; 40436653
ENCS
7 Parallel boosting neural network with mutual information for day-ahead solar irradiance forecasting Ahmed U; Mahmood A; Khan AR; Kuhlmann L; Alimgeer KS; Razzaq S; Aziz I; Hammad A; 40185800
PHYSICS
8 Large language models deconstruct the clinical intuition behind diagnosing autism Stanley J; Rabot E; Reddy S; Belilovsky E; Mottron L; Bzdok D; 40147442
ENCS
9 CACTUS: An open dataset and framework for automated Cardiac Assessment and Classification of Ultrasound images using deep transfer learning Elmekki H; Alagha A; Sami H; Spilkin A; Zanuttini AM; Zakeri E; Bentahar J; Kadem L; Xie WF; Pibarot P; Mizouni R; Otrok H; Singh S; Mourad A; 40107020
ENCS
10 MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle McKay MJ; Weber KA; Wesselink EO; Smith ZA; Abbott R; Anderson DB; Ashton-James CE; Atyeo J; Beach AJ; Burns J; Clarke S; Collins NJ; Coppieters MW; Cornwall J; Crawford RJ; De Martino E; Dunn AG; Eyles JP; Feng HJ; Fortin M; Franettovich Smith MM; Galloway G; Gandomkar Z; Glastras S; Henderson LA; Hides JA; Hiller CE; Hilmer SN; Hoggarth MA; Kim B; Lal N; LaPorta L; Magnussen JS; Maloney S; March L; Nackley AG; O' Leary SP; Peolsson A; Perraton Z; Pool-Goudzwaard AL; Schnitzler M; Seitz AL; Semciw AI; Sheard PW; Smith AC; Snodgrass SJ; Sullivan J; Tran V; Valentin S; Walton DM; Wishart LR; Elliott JM; 39590726
HKAP
11 Ion channel classification through machine learning and protein language model embeddings Ghazikhani H; Butler G; 39572876
ENCS
12 A protocol for trustworthy EEG decoding with neural networks Borra D; Magosso E; Ravanelli M; 39549492
ENCS
13 Position-based visual servoing of a 6-RSS parallel robot using adaptive sliding mode control Zhu N; Xie WF; Shen H; 39492316
ENCS
14 Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks Adcock B; Brugiapaglia S; Dexter N; Moraga S; 39454372
MATHSTATS
15 Deep neural network-based robotic visual servoing for satellite target tracking Ghiasvand S; Xie WF; Mohebbi A; 39440297
ENCS
16 Generalization limits of Graph Neural Networks in identity effects learning D' Inverno GA; Brugiapaglia S; Ravanelli M; 39426036
ENCS
17 Modelling reindeer rut activity using on-animal acoustic recorders and machine learning Boucher AJ; Weladji RB; Holand Ø; Kumpula J; 38932958
BIOLOGY
18 The immunomodulatory effect of oral NaHCO3 is mediated by the splenic nerve: multivariate impact revealed by artificial neural networks Alvarez MR; Alkaissi H; Rieger AM; Esber GR; Acosta ME; Stephenson SI; Maurice AV; Valencia LMR; Roman CA; Alarcon JM; 38549144
CSBN
19 Enhanced identification of membrane transport proteins: a hybrid approach combining ProtBERT-BFD and convolutional neural networks Ghazikhani H; Butler G; 37497772
ENCS
20 Compatible-domain Transfer Learning for Breast Cancer Classification with Limited Annotated Data Shamshiri MA; Krzyzak A; Kowal M; Korbicz J; 36758326
ENCS
21 Neural correlates of recall and extinction in a rat model of appetitive Pavlovian conditioning Brown A; Villaruel FR; Chaudhri N; 36496079
PSYCHOLOGY
22 Reinforcement learning for automatic quadrilateral mesh generation: A soft actor-critic approach Pan J; Huang J; Cheng G; Zeng Y; 36375347
ENCS
23 Sentiment Classification Method Based on Blending of Emoticons and Short Texts Zou H; Xiang K; 35327909
ENCS
24 Analysis of input set characteristics and variances on k-fold cross validation for a Recurrent Neural Network model on waste disposal rate estimation Vu HL; Ng KTW; Richter A; An C; 35287077
ENCS
25 Comparative Evaluation of Artificial Neural Networks and Data Analysis in Predicting Liposome Size in a Periodic Disturbance Micromixer Ocampo I; López RR; Camacho-León S; Nerguizian V; Stiharu I; 34683215
ENCS
26 Corrigendum: Deep Learning-Based Haptic Guidance for Surgical Skills Transfer Fekri P; Dargahi J; Zadeh M; 34026860
ENCS
27 X-Vectors: New Quantitative Biomarkers for Early Parkinson's Disease Detection From Speech Jeancolas L; Petrovska-Delacrétaz D; Mangone G; Benkelfat BE; Corvol JC; Vidailhet M; Lehéricy S; Benali H; 33679361
PERFORM
28 Deep Learning-Based Haptic Guidance for Surgical Skills Transfer. Fekri P, Dargahi J, Zadeh M 33553246
ENCS

 

Title:PARPAL: PARalog Protein Redistribution using Abundance and Localization in Yeast Database
Authors:Greco BMZapata GDandage RPapkov MPereira VLefebvre FBourque GParts LKuzmin E
Link:https://pubmed.ncbi.nlm.nih.gov/40580499/
DOI:10.1093/g3journal/jkaf148
Publication:G3 (Bethesda, Md.)
Keywords:Saccharomyces cerevisiaebudding yeastdeep neural networkduplicated geneshigh-content screeningparalogsphenomicsprotein abundanceprotein subcellular localization
PMID:40580499 Category: Date Added:2025-07-01
Dept Affiliation: BIOLOGY
1 Department of Biology, Concordia University, 7141 Sherbrooke St. W., Montreal, QC, H4B 1R6, Canada.
2 Centre for Applied Synthetic Biology, Centre for Structural and Functional Genomics, Concordia University, 7141 Sherbrooke St. W., Montreal, QC, H4B 1R6, Canada.
3 Canadian Centre for Computational Genomics (C3G), McGill University, 1010 Sherbrooke St. W. Suite 1800, Montreal, QC, H3A 2R7, Canada.
4 Victor Phillip Dahdaleh Institute of Genomic Medicine, McGill University, 740 Dr Penfield Ave, Montreal, QC, H3A 0G1, Canada.
5 Institute of Computer Science, University of Tartu, Narva mnt 18, Tartu, 51009, Estonia.
6 Department of Human Genetics, McGill University, 3640 University, Room W 315 D, Montreal, QC, H3A 0C7, Canada.
7 Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK.
8 Rosalind & Morris Goodman Cancer Institute, McGill University, 1160 Pine Ave W, Montreal, QC, H3A 1A3, Canada.

Description:

Whole-genome duplication (WGD) events are common across various organisms; however, the retention and evolution of WGD paralogs is not fully understood. Quantitative measure of protein redistribution in response to the deletion of their WGD paralog provides insight into sources of gene retention. Here, we describe PARPAL (PARalog Protein Redistribution using Abundance and Localization in Yeast), a web database that houses results of high-content screening and deep learning neural network analysis of the redistribution of 164 proteins reflecting how their subcellular localization and protein abundance change in response to their paralog deletion in the budding yeast, Saccharomyces cerevisiae. We interrogated a total of 82 paralog pairs in two genetic backgrounds for a total of ~3,500 micrographs of ~460,000 cells. For example, Skn7-Hms2 exhibited dependent redistribution and Cue1-Cue4 showed compensatory redistribution response. PARPAL also links to other studies on trigenic interactions, protein-protein interactions and protein abundance. PARPAL is available at https://parpal.c3g-app.sd4h.ca and is a valuable resource for the yeast community interested in understanding the retention and evolution of paralogs and can help researchers to investigate protein dynamics of paralogs in other organisms.





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