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ORCIDNiina Haiminen
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- affiliation: Watson Research Center, Yorktown Heights, NY, USA
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2020 – today
- 2024
[j16]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:
AutoXAI4Omics: an automated explainable AI tool for omics and tabular data. Briefings Bioinform. 26(1) (2024)- [j15]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:
AutoXAI4Omics: an automated explainable AI tool for omics and tabular data. Briefings Bioinform. 26(1) (2024) - 2020
- [c8]Sayan Mandal, Aldo Guzmán-Sáenz, Niina Haiminen, Saugata Basu, Laxmi Parida:
A Topological Data Analysis Approach on Predicting Phenotypes from Gene Expression Data. AlCoB 2020: 178-187 - [i1]Lingjing Jiang, Niina Haiminen, Anna Paola Carrieri, Shi Huang, Yoshiki Vazquez-Baeza, Laxmi Parida, Ho-Cheol Kim, Austin D. Swafford, Rob Knight, Loki Natarajan:
Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data. CoRR abs/2012.00001 (2020)
2010 – 2019
- 2019
- [j14]Enrico Siragusa, Niina Haiminen, Richard Finkers, Richard G. F. Visser, Laxmi Parida:
Haplotype assembly of autotetraploid potato using integer linear programing. Bioinform. 35(18): 3279-3286 (2019) - [j13]Enrico Siragusa, Niina Haiminen, Richard Finkers, Richard G. F. Visser, Laxmi Parida:
Haplotype assembly of autotetraploid potato using integer linear programing. Bioinform. 35(21): 4534 (2019) - [j12]Aldo Guzmán-Sáenz, Niina Haiminen, Saugata Basu, Laxmi Parida:
Signal enrichment with strain-level resolution in metagenomes using topological data analysis. BMC Genom. 20(S2) (2019) - [j11]Enrico Siragusa, Niina Haiminen, Filippo Utro, Laxmi Parida:
Linear Time Algorithms to Construct Populations Fitting Multiple Constraint Distributions at Genomic Scales. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1132-1142 (2019) - 2016
- [j10]Stefan Edlund, Kristen L. Beck, Niina Haiminen, Laxmi Parida, Brian D. Storey, Bart C. Weimer, James H. Kaufman, David D. Chambliss:
Design of the MCAW compute service for food safety bioinformatics. IBM J. Res. Dev. 60(5/6): 2:1-2:12 (2016) - [c7]Laxmi Parida, Niina Haiminen:
Scalable Algorithms at Genomic Resolution to fit LD Distributions. BCB 2016: 271-278 - [c6]Anna Paola Carrieri, Niina Haiminen, Laxmi Parida:
Host Phenotype Prediction from Differentially Abundant Microbes Using RoDEO. CIBB 2016: 27-41 - 2015
- [j9]Laxmi Parida, Niina Haiminen:
SimBA: simulation algorithm to fit extant-population distributions. BMC Bioinform. 16: 82:1-82:9 (2015) - [c5]Laxmi Parida, Niina Haiminen, David Haws, Jan Suchodolski:
Host Trait Prediction of Metagenomic Data for Topology-Based Visualization. ICDCIT 2015: 134-149 - 2014
- [c4]Niina Haiminen, Claude Lebreton, Laxmi Parida:
Best-Fit in Linear Time for Non-generative Population Simulation - (Extended Abstract). WABI 2014: 247-262 - 2013
- [j8]Niina Haiminen, Filippo Utro, Claude Lebreton, Pascal Flament, Zivan Karaman, Laxmi Parida:
Efficient in silico Chromosomal Representation of Populations via Indexing Ancestral Genomes. Algorithms 6(3): 430-441 (2013) - 2012
- [j7]Aristotelis Tsirigos, Niina Haiminen, Erhan Bilal, Filippo Utro:
GenomicTools: a computational platform for developing high-throughput analytics in genomics. Bioinform. 28(2): 282-283 (2012) - 2011
- [j6]Aleksi Kallio, Niko Vuokko, Markus Ojala, Niina Haiminen, Heikki Mannila:
Randomization techniques for assessing the significance of gene periodicity results. BMC Bioinform. 12: 330 (2011) - 2010
- [j5]Niina Haiminen, Heikki Mannila:
Evaluation of BIC and Cross Validation for model selection on sequence segmentations. Int. J. Data Min. Bioinform. 4(6): 675-700 (2010)
2000 – 2009
- 2009
- [j4]Markus Ojala, Niko Vuokko, Aleksi Kallio, Niina Haiminen, Heikki Mannila:
Randomization methods for assessing data analysis results on real-valued matrices. Stat. Anal. Data Min. 2(4): 209-230 (2009) - 2008
- [j3]Niina Haiminen, Heikki Mannila, Evimaria Terzi:
Determining significance of pairwise co-occurrences of events in bursty sequences. BMC Bioinform. 9 (2008) - [j2]Niina Haiminen, Aristides Gionis, Kari Laasonen:
Algorithms for unimodal segmentation with applications to unimodality detection. Knowl. Inf. Syst. 14(1): 39-57 (2008) - [c3]Markus Ojala, Niko Vuokko, Aleksi Kallio, Niina Haiminen, Heikki Mannila:
Randomization of real-valued matrices for assessing the significance of data mining results. SDM 2008: 494-505 - 2007
- [j1]Niina Haiminen, Heikki Mannila, Evimaria Terzi:
Comparing segmentations by applying randomization techniques. BMC Bioinform. 8 (2007) - 2006
- [c2]Ella Bingham, Aristides Gionis, Niina Haiminen, Heli Hiisilä, Heikki Mannila, Evimaria Terzi:
Segmentation and dimensionality reduction. SDM 2006: 372-383 - 2004
- [c1]Niina Haiminen, Aristides Gionis:
Unimodal Segmentation of Sequences. ICDM 2004: 106-113
Coauthor Index
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