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Antti Honkela

Showing results (1-10 of 34) with videos related to

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Bioinformatics (Oxford, England)|June 17, 2016
Analysis of differential splicing suggests different modes of short-term splicing regulationHande Topa, Antti Honkela
BMC Bioinformatics|October 6, 2018
GPrank: an R package for detecting dynamic elements from genome-wide time seriesHande Topa, Antti Honkela
Plos One|May 13, 2015
Probe Region Expression Estimation for RNA-Seq Data for Improved Microarray ComparabilityKarolis Uziela, Antti Honkela
IEEE Transactions on Neural Networks|October 6, 2004
Variational learning and bits-back coding: an information-theoretic view to Bayesian learningAntti Honkela, Harri Valpola
Bioinformatics (Oxford, England)|May 8, 2012
Identifying differentially expressed transcripts from RNA-seq data with biological variationPeter Glaus, Antti Honkela, Magnus Rattray
Methods in Molecular Biology (Clifton, N.J.)|July 22, 2018
Identifying Bacterial Strains from Sequencing DataTommi Mäklin, Jukka Corander, Antti Honkela
Methods in Molecular Biology (Clifton, N.J.)|November 30, 2012
Mining regulatory network connections by ranking transcription factor target genes using time series expression dataAntti Honkela, Magnus Rattray, Neil D Lawrence
BMC Medical Informatics and Decision Making|June 14, 2024
Collaborative learning from distributed data with differentially private synthetic dataLukas Prediger, Joonas Jälkö, Antti Honkela, et al.
Bioinformatics (Oxford, England)|May 22, 2014
Exploration and retrieval of whole-metagenome sequencing samplesSohan Seth, Niko Välimäki, Samuel Kaski, et al.
Bioinformatics (Oxford, England)|August 12, 2008
Gaussian process modelling of latent chemical species: applications to inferring transcription factor activitiesPei Gao, Antti Honkela, Magnus Rattray, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Bioinformatics (Oxford, England)|June 17, 2016
Analysis of differential splicing suggests different modes of short-term splicing regulationHande Topa, Antti Honkela
BMC Bioinformatics|October 6, 2018
GPrank: an R package for detecting dynamic elements from genome-wide time seriesHande Topa, Antti Honkela
Plos One|May 13, 2015
Probe Region Expression Estimation for RNA-Seq Data for Improved Microarray ComparabilityKarolis Uziela, Antti Honkela
IEEE Transactions on Neural Networks|October 6, 2004
Variational learning and bits-back coding: an information-theoretic view to Bayesian learningAntti Honkela, Harri Valpola
Bioinformatics (Oxford, England)|May 8, 2012
Identifying differentially expressed transcripts from RNA-seq data with biological variationPeter Glaus, Antti Honkela, Magnus Rattray
Methods in Molecular Biology (Clifton, N.J.)|July 22, 2018
Identifying Bacterial Strains from Sequencing DataTommi Mäklin, Jukka Corander, Antti Honkela
Methods in Molecular Biology (Clifton, N.J.)|November 30, 2012
Mining regulatory network connections by ranking transcription factor target genes using time series expression dataAntti Honkela, Magnus Rattray, Neil D Lawrence
BMC Medical Informatics and Decision Making|June 14, 2024
Collaborative learning from distributed data with differentially private synthetic dataLukas Prediger, Joonas Jälkö, Antti Honkela, et al.
Bioinformatics (Oxford, England)|May 22, 2014
Exploration and retrieval of whole-metagenome sequencing samplesSohan Seth, Niko Välimäki, Samuel Kaski, et al.
Bioinformatics (Oxford, England)|August 12, 2008
Gaussian process modelling of latent chemical species: applications to inferring transcription factor activitiesPei Gao, Antti Honkela, Magnus Rattray, et al.
Pageof 4