ML-Bioinfo-CEITEC @MCeitec

News from the #MachineLearning in #Bioinformatics lab at @CEITEC_Brno headed by Panagiotis Alexiou - @PanosAlexiou01. #CEITEC #MasarykUniversity ceitec.eu/rbp-bioinforma… Brno, CZ Joined October 2019

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ML-Bioinfo-CEITEC @MCeitec

4 years ago

Our review paper has been published in @Biology_MDPI .

Biology MDPI @Biology_MDPI

4 years ago

Our review paper has been published in @Biology_MDPI .

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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

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ML-Bioinfo-CEITEC @MCeitec

5 years ago

#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…

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ML-Bioinfo-CEITEC @MCeitec

5 years ago

Top 20 Machine Learning & Data Science Websites To Follow in 2020 written by @OKharkovyna in @TDataScience towardsdatascience.com/top-20-machine…

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ML-Bioinfo-CEITEC @MCeitec

5 years ago

#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…

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ML-Bioinfo-CEITEC @MCeitec

5 years ago

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…

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ML-Bioinfo-CEITEC @MCeitec

5 years ago

Congratulations to Vojtěch and the whole team.

CEITEC @CEITEC_Brno

5 years ago

Congratulations to Vojtěch and the whole team.

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ML-Bioinfo-CEITEC @MCeitec

5 years ago

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…

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ML-Bioinfo-CEITEC @MCeitec

5 years ago

The future of machine learning by @jeremiecharris in @TDataScience towardsdatascience.com/the-future-of-…

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ML-Bioinfo-CEITEC @MCeitec

5 years ago

#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…

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ML-Bioinfo-CEITEC @MCeitec

5 years ago

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…

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ML-Bioinfo-CEITEC @MCeitec

5 years ago

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…

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ML-Bioinfo-CEITEC @MCeitec

5 years ago

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…

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ML-Bioinfo-CEITEC @MCeitec

5 years ago

Be sure to read Bayesian meta-learning by Qiurui Chen in @TDataScience towardsdatascience.com/bayesian-meta-…

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ML-Bioinfo-CEITEC @MCeitec

5 years ago

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…

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ML-Bioinfo-CEITEC @MCeitec

5 years ago

#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…

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ML-Bioinfo-CEITEC @MCeitec

5 years ago

#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…