Harri Lähdesmäki
Affiliations:- Aalto University, Espoo, Finland
According to our database1,
Harri Lähdesmäki
authored at least 75 papers
between 2003 and 2024.
Collaborative distances:
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Bibliography
2024
Pattern Recognit., March, 2024
Latent variable model for high-dimensional point process with structured missingness.
CoRR, 2024
2023
BMC Bioinform., December, 2023
EPIC-TRACE: predicting TCR binding to unseen epitopes using attention and contextualized embeddings.
Bioinform., December, 2023
TCRconv: predicting recognition between T cell receptors and epitopes using contextualized motifs.
Bioinform., January, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
BMC Bioinform., December, 2022
PairGP: Gaussian process modeling of longitudinal data from paired multi-condition studies.
Comput. Biol. Medicine, 2022
BMC Bioinform., 2022
Probabilistic modeling methods for cell-free DNA methylation based cancer classification.
BMC Bioinform., 2022
ChromDMM: a Dirichlet-multinomial mixture model for clustering heterogeneous epigenetic data.
Bioinform., 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
2021
PLoS Comput. Biol., 2021
lgpr: an interpretable non-parametric method for inferring covariate effects from longitudinal data.
Bioinform., 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Enhancer prediction in the human genome by probabilistic modelling of the chromatin feature patterns.
BMC Bioinform., 2020
LuxUS: DNA methylation analysis using generalized linear mixed model with spatial correlation.
Bioinform., 2020
Proceedings of the Bioinformatics and Biomedical Engineering, 2020
2019
A Probabilistic Framework for Molecular Network Structure Inference by Means of Mechanistic Modeling.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
An interpretable probabilistic machine learning method for heterogeneous longitudinal studies.
CoRR, 2019
Latent Gaussian process with composite likelihoods for data-driven disease stratification.
CoRR, 2019
CoRR, 2019
Bioinform., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Algorithms for Computational Biology - 6th International Conference, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Bioinform., 2018
mGPfusion: predicting protein stability changes with Gaussian process kernel learning and data fusion.
Bioinform., 2018
Learning stochastic differential equations with Gaussian Processes without Gradient Matching.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2016
BMC Bioinform., 2016
Data-driven mechanistic analysis method to reveal dynamically evolving regulatory networks.
Bioinform., 2016
Bioinform., 2016
LuxGLM: a probabilistic covariate model for quantification of DNA methylation modifications with complex experimental designs.
Bioinform., 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
Using multi-step proposal distribution for improved MCMC convergence in Bayesian network structure learning.
EURASIP J. Bioinform. Syst. Biol., 2015
Analyzing Th17 cell differentiation dynamics using a novel integrative modeling framework for time-course RNA sequencing data.
BMC Syst. Biol., 2015
BMC Bioinform., 2015
BinDNase: a discriminatory approach for transcription factor binding prediction using DNase I hypersensitivity data.
Bioinform., 2015
2014
Methods for time series analysis of RNA-seq data with application to human Th17 cell differentiation.
Bioinform., 2014
Integrative genomics and transcriptomics analysis of human embryonic and induced pluripotent stem cells.
BioData Min., 2014
2013
Evaluating a linear k-mer model for protein-DNA interactions using high-throughput SELEX data.
BMC Bioinform., 2013
Sorad: a systems biology approach to predict and modulate dynamic signaling pathway response from phosphoproteome time-course measurements.
Bioinform., 2013
Active learning for Bayesian network models of biological networks using structure priors.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
2010
Novel Data Fusion Method and Exploration of Multiple Information Sources for Transcription Factor Target Gene Prediction.
EURASIP J. Adv. Signal Process., 2010
Bioinform., 2010
2009
Systematic Analysis of Disease-Related Regulatory Mutation Classes Reveals Distinct Effects on Transcription Factor Binding.
Silico Biol., 2009
A joint finite mixture model for clustering genes from independent Gaussian and beta distributed data.
BMC Bioinform., 2009
Learning gene regulatory networks from gene expression measurements using non-parametric molecular kinetics.
Bioinform., 2009
2008
Learning the structure of dynamic Bayesian networks from time series and steady state measurements.
Mach. Learn., 2008
EURASIP J. Bioinform. Syst. Biol., 2008
sBGMM: A Stratified Beta-Gaussian Mixture Model for Clustering Genes with Multiple Data Sources.
Proceedings of the International Conference on Biocomputation, 2008
2007
Robust regression for periodicity detection in non-uniformly sampled time-course gene expression data.
BMC Bioinform., 2007
2006
Relationships between probabilistic Boolean networks and dynamic Bayesian networks as models of gene regulatory networks.
Signal Process., 2006
2005
Computational methods for systems biology: analysis of high-throughput measurements and modeling of genetic regulatory networks.
PhD thesis, 2005
<i>In silico </i>microdissection of microarray data from heterogeneous cell populations.
BMC Bioinform., 2005
BMC Bioinform., 2005
2004
Spectral methods for testing membership in certain post classes and the class of forcing functions.
IEEE Signal Process. Lett., 2004
2003
Estimation and inversion of the effects of cell population asynchrony in gene expression time-series.
Signal Process., 2003
Mach. Learn., 2003
Proceedings of the Third SIAM International Conference on Data Mining, 2003