ML-Bioinfo-CEITEC
@MCeitec
News from the #MachineLearning in #Bioinformatics lab at @CEITEC_Brno headed by Panagiotis Alexiou - @PanosAlexiou01. #CEITEC #MasarykUniversity
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Our new study in using Convolutional Neural Networks to classify G-quadruplexes with increased sample category imbalance. biorxiv.org/content/10.110…
Our review paper has been published in @Biology_MDPI .
Bioinformatics and Machine Learning Approaches to Understand the Regulation of Mobile Genetic Elements mdpi.com/1266648 # via @Biology_MDPI @MasarykUni #transposable_elements_regulation #mobile_genetic_elements #machine_learning #bioinformatics_methods #DNA_methylation
A unique #bioinformatics tool MuStARD which can scan large sets of genomic regions & precisely identify areas producing small RNAs playing various roles in the regulation of development & disease. It is a novel tool designed by @MCeitec. @SciReports bit.ly/CEITEC_MuStARD
#ChineseAcademyofSciences #KingAbdulazizUniversity used GraRep embedding model to predict miRNA-disease associations; a heterogeneous information network was constructed by combining the known associations among lncRNA, drug, protein, disease, and miRNA. doi.org/10.1038/s41598…
nature.com
Predicting miRNA-disease association from heterogeneous information network with GraRep embedding...
Scientific Reports - Predicting miRNA-disease association from heterogeneous information network with GraRep embedding model
Top 20 Machine Learning & Data Science Websites To Follow in 2020 written by @OKharkovyna in @TDataScience towardsdatascience.com/top-20-machine…
#GunmaUniversity #UniversityofToyama @KedokteranUI developed #DL programs to extract radiosensitivity data from literature.Programs #1–3 screen papers with data obtained by CAs.Program #4 extracts CA-derived SF2 data from semi-logarithmic survival curves.doi.org/10.1016/j.rado…
Don’t miss this great read in Towards Data Science written by Renu Khandelwal titled “Inferences from a TF Lite model — Transfer Learning on a Pre-trained Model” @TDataScience towardsdatascience.com/inferences-fro…
Congratulations to Vojtěch and the whole team.
Scientists, doctors, and informaticians in Brno develop unique #BioinformaticsSoftware. It will serve as a more sophisticated treatment planning tool for paediatric #oncology patients. A team of scientists is led by Vojtech Bystry, @CEITEC_Brno @muni_cz. bit.ly/CEITEC_Bioinfo…
National Research Council of Italy @NOVAunl applied two #DL classifiers and three #ML models to two different miRNA-mRNA datasets, of predictions from 3 tools: TargetScan, miRanda, and RNAhybrid to compare the two approaches in Bioinformatics: link.springer.com/chapter/10.100…
The future of machine learning by @jeremiecharris in @TDataScience towardsdatascience.com/the-future-of-…
#XiamenUniversityChina @UESTC1956 developed a two-layered integrated classifier algorithm, 2lpiRNApred. It identifies piRNAs in the first layer, and determines whether they function in inducting target mRNA deadenylation in the second layer. doi.org/10.1080/154762…
tandfonline.com
2lpiRNApred: a two-layered integrated algorithm for identifying piRNAs and their functions based on...
Piwi–interacting RNAs (piRNAs) are indispensable in the transposon silencing, including in germ cell formation, germline stem cell maintenance, spermatogenesis, and oogenesis. piRNA pathways are am...
Skolkovo institute of science and technology devised a novel Deep convolutional tensor network (DCTN) for image classification, which has parameters sharing, locality, deepness, and it is based on the Entangled plaquette states (EPS) tensor network: arxiv.org/pdf/2005.14506…
DeepDSSR (deep donor splice site recognizer), a novel deep learning based architecture built upon publicly available and highly imbalanced benchmark dataset, predicts human donor splice sites. Via #HBKU @SCSU @UOW @etsu doi.org/10.3233/SHTI19…
NNMDA, #NN model for miRNA-disease association prediction, predicts miRNA-disease associations by integrating multiple biological data resources, working also for new diseases without any known miRNAs related to it. Via #XiamenUniversity @USC @UESTC1956 doi.org/10.1016/j.omtn…
Be sure to read Bayesian meta-learning by Qiurui Chen in @TDataScience towardsdatascience.com/bayesian-meta-…
In this article, we talk about Bayesian Optimization, a suite of techniques often used to tune hyperparameters. More generally, Bayesian Optimization can be used to optimize any black-box. doi.org/10.23915/disti…
#SunYatsenUniversity present novel platform, exo-miRExplorer, for mining and identifying exo-miRNAs from high-throughput small RNA sequencing experiments which originated from tissues and cell lines of multiple organisms. frontiersin.org/articles/10.33…
#SamsungRandDInstituteBangladesh @buetacbd added to UNet: Res paths to make the feature maps more homogeneous. MultiRes blocks to perform multi-resolutional analysis. A compact structure inspired by inception blocks. And MultiResUNet was born. doi.org/10.1016/j.neun…
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