Niina Haiminen

According to our database, Niina Haiminen authored at least 23 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

AutoXAI4Omics: an automated explainable AI tool for omics and tabular data.

James Strudwick, Laura-Jayne Gardiner, Kate Denning-James, Niina Haiminen, Ashley Evans, Jennifer Kelly, Matthew Madgwick, Filippo Utro, Ed Seabolt, Christopher Gibson, Bharat Bedi, Daniel Clayton, Ciaron Howell, Laxmi Parida, Anna Paola Carrieri

Briefings Bioinform., 2024

2020

Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data.

Lingjing Jiang, Niina Haiminen, Anna Paola Carrieri, Shi Huang, Yoshiki Vazquez-Baeza, Laxmi Parida, Ho-Cheol Kim, Austin D. Swafford, Rob Knight, Loki Natarajan

CoRR, 2020

A Topological Data Analysis Approach on Predicting Phenotypes from Gene Expression Data.

Sayan Mandal, Aldo Guzmán-Sáenz, Niina Haiminen, Saugata Basu, Laxmi Parida

Proceedings of the Algorithms for Computational Biology, 2020

2019

Linear Time Algorithms to Construct Populations Fitting Multiple Constraint Distributions at Genomic Scales.

Enrico Siragusa, Niina Haiminen, Filippo Utro, Laxmi Parida

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Signal enrichment with strain-level resolution in metagenomes using topological data analysis.

Aldo Guzmán-Sáenz, Niina Haiminen, Saugata Basu, Laxmi Parida

BMC Genom., 2019

Haplotype assembly of autotetraploid potato using integer linear programing.

Enrico Siragusa, Niina Haiminen, Richard Finkers, Richard G. F. Visser, Laxmi Parida

Bioinform., 2019

2016

Design of the MCAW compute service for food safety bioinformatics.

Stefan Edlund, Kristen L. Beck, Niina Haiminen, Laxmi Parida, Brian D. Storey, Bart C. Weimer, James H. Kaufman, David D. Chambliss

IBM J. Res. Dev., 2016

Host Phenotype Prediction from Differentially Abundant Microbes Using RoDEO.

Anna Paola Carrieri, Niina Haiminen, Laxmi Parida

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2016

Scalable Algorithms at Genomic Resolution to fit LD Distributions.

Laxmi Parida, Niina Haiminen

Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015

SimBA: simulation algorithm to fit extant-population distributions.

Laxmi Parida, Niina Haiminen

BMC Bioinform., 2015

Host Trait Prediction of Metagenomic Data for Topology-Based Visualization.

Laxmi Parida, Niina Haiminen, David Haws, Jan Suchodolski

Proceedings of the Distributed Computing and Internet Technology, 2015

2014

Best-Fit in Linear Time for Non-generative Population Simulation - (Extended Abstract).

Niina Haiminen, Claude Lebreton, Laxmi Parida

Proceedings of the Algorithms in Bioinformatics - 14th International Workshop, 2014

2013

Efficient <i>in silico</i> Chromosomal Representation of Populations via Indexing Ancestral Genomes.

Niina Haiminen, Filippo Utro, Claude Lebreton, Pascal Flament, Zivan Karaman, Laxmi Parida

Algorithms, 2013

2012

<i>GenomicTools</i>: a computational platform for developing high-throughput analytics in genomics.

Aristotelis Tsirigos, Niina Haiminen, Erhan Bilal, Filippo Utro

Bioinform., 2012

2011

Randomization techniques for assessing the significance of gene periodicity results.

Aleksi Kallio, Niko Vuokko, Markus Ojala, Niina Haiminen, Heikki Mannila

BMC Bioinform., 2011

2010

Evaluation of BIC and Cross Validation for model selection on sequence segmentations.

Niina Haiminen, Heikki Mannila

Int. J. Data Min. Bioinform., 2010

2009

Randomization methods for assessing data analysis results on real-valued matrices.

Markus Ojala, Niko Vuokko, Aleksi Kallio, Niina Haiminen, Heikki Mannila

Stat. Anal. Data Min., 2009

2008

Algorithms for unimodal segmentation with applications to unimodality detection.

Niina Haiminen, Aristides Gionis, Kari Laasonen

Knowl. Inf. Syst., 2008

Determining significance of pairwise co-occurrences of events in bursty sequences.

Niina Haiminen, Heikki Mannila, Evimaria Terzi

BMC Bioinform., 2008

Randomization of real-valued matrices for assessing the significance of data mining results.

Markus Ojala, Niko Vuokko, Aleksi Kallio, Niina Haiminen, Heikki Mannila

Proceedings of the SIAM International Conference on Data Mining, 2008

2007

Comparing segmentations by applying randomization techniques.

Niina Haiminen, Heikki Mannila, Evimaria Terzi

BMC Bioinform., 2007

2006

Segmentation and dimensionality reduction.

Ella Bingham, Aristides Gionis, Niina Haiminen, Heli Hiisilä, Heikki Mannila, Evimaria Terzi

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

2004

Unimodal Segmentation of Sequences.

Niina Haiminen, Aristides Gionis

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004