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Collection : Queen's University Belfast Language : albanian Language : english Language : georgian Language : romanian; moldavian; moldovan Language : slovak Language : tamil Language : tok pisin Language : waray Subject : statistics and probability Subject : theoretical computer science

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Academic Journal

No one tool to rule them all: prokaryotic gene prediction tool annotations are highly dependent on the organism of study

Authors : Dimonaco, Nicholas J

Subjects: Biochemistry

Source: Dimonaco , N J , Aubrey , W , Kenobi , K , Clare , A & Creevey , C J 2022 , ' No one tool to rule them all: prokaryotic gene prediction tool annotations are highly dependent on the organism of study '

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Academic Journal

On the complexity of haplotyping a microbial community

Authors : Nicholls, Samuel M

Subjects: Biochemistry

Source: Nicholls , S M , Aubrey , W , De Grave , K , Schietgat , L , Creevey , C J & Clare , A 2021 , ' On the complexity of haplotyping a microbial community ' , Bioinformatics , vol. 37 , no. 10 , pp.

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Academic Journal

Encoding Lexico-Semantic Knowledge using Ensembles of Feature Maps from Deep Convolutional Neural Networks

Authors :

Subjects: /dk/atira/pure/subjectarea/asjc/1700/1706

Source: Derby , S , Miller , P & Devereux , B 2020 , Encoding Lexico-Semantic Knowledge using Ensembles of Feature Maps from Deep Convolutional Neural Networks . in D Scott , N Bel & C Zong (eds) ,

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Academic Journal

DEX: self-healing expanders

Authors : Pandurangan, Gopal

Subjects: /dk/atira/pure/subjectarea/asjc/1700/1705

Source: Pandurangan , G , Robinson , P & Trehan , A 2016 , ' DEX: self-healing expanders ' , Distributed Computing , vol. 29 , no. 3 , pp. 163-185 . https://doi.org/10.1007/s00446-015-0258-3

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Academic Journal

Model selection for prognostic time-to-event gene signature discovery with applications in early breast cancer data

Authors : Ahdesmaeki, Miika

Subjects: gene signature

Source: Ahdesmaeki , M , Lancashire , L , Proutski , V , Wilson , C , Davison , T S , Harkin , D P & Kennedy , R D 2013 , ' Model selection for prognostic time-to-event gene signature discovery with

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