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Niina Haiminen
Niina Haiminen
IBM Research
Verified email at us.ibm.com - Homepage
Title
Cited by
Cited by
Year
The genome sequence of the most widely cultivated cacao type and its use to identify candidate genes regulating pod color
JC Motamayor, K Mockaitis, J Schmutz, N Haiminen, O Cornejo, ...
Genome biology 14 (6), 1-25, 2013
2562013
Segmentation and dimensionality reduction
E Bingham, A Gionis, N Haiminen, H Hiisilš, H Mannila, E Terzi
Proceedings of the 2006 SIAM International Conference on Data Mining, 372-383, 2006
592006
Human skin, oral, and gut microbiomes predict chronological age
S Huang, N Haiminen, AP Carrieri, R Hu, L Jiang, L Parida, B Russell, ...
Msystems 5 (1), e00630-19, 2020
49*2020
GenomicTools: a computational platform for developing high-throughput analytics in genomics
A Tsirigos, N Haiminen, E Bilal, F Utro
Bioinformatics 28 (2), 282-283, 2012
482012
Evaluation of methods for de novo genome assembly from high-throughput sequencing reads reveals dependencies that affect the quality of the results
N Haiminen, DN Kuhn, L Parida, I Rigoutsos
PloS one 6 (9), e24182, 2011
422011
SARS-CoV-2 detection status associates with bacterial community composition in patients and the hospital environment
C Marotz, P Belda-Ferre, F Ali, P Das, S Huang, K Cantrell, L Jiang, ...
Microbiome 9 (1), 1-15, 2021
30*2021
Explainable AI reveals changes in skin microbiome composition linked to phenotypic differences
AP Carrieri, N Haiminen, S Maudsley-Barton, LJ Gardiner, B Murphy, ...
Scientific reports 11 (1), 1-18, 2021
29*2021
Application of genome wide association and genomic prediction for improvement of cacao productivity and resistance to black and frosty pod diseases
JA Romero Navarro, W Phillips-Mora, A Arciniegas-Leal, A Mata-Quirůs, ...
Frontiers in plant science 8, 1905, 2017
292017
Randomization methods for assessing data analysis results on real‐valued matrices
M Ojala, N Vuokko, A Kallio, N Haiminen, H Mannila
Statistical Analysis and Data Mining: The ASA Data Science Journal 2 (4†…, 2009
272009
Bacterial modification of the host glycosaminoglycan heparan sulfate modulates SARS-CoV-2 infectivity
C Martino, BP Kellman, DR Sandoval, TM Clausen, CA Marotz, SJ Song, ...
BioRxiv, 2020
262020
Comparing segmentations by applying randomization techniques
N Haiminen, H Mannila, E Terzi
BMC bioinformatics 8 (1), 1-8, 2007
262007
Challenges in benchmarking metagenomic profilers
Z Sun, S Huang, M Zhang, Q Zhu, N Haiminen, AP Carrieri, ...
Nature methods 18 (6), 618-626, 2021
252021
Randomization of real-valued matrices for assessing the significance of data mining results
M Ojala, N Vuokko, A Kallio, N Haiminen, H Mannila
Proceedings of the 2008 SIAM International Conference on Data Mining, 494-505, 2008
232008
Determining significance of pairwise co-occurrences of events in bursty sequences
N Haiminen, H Mannila, E Terzi
BMC bioinformatics 9 (1), 1-10, 2008
212008
Discovering isochores by least-squares optimal segmentation
N Haiminen, H Mannila
Gene 394 (1-2), 53-60, 2007
212007
Unimodal segmentation of sequences
N Haiminen, A Gionis
Fourth IEEE International Conference on Data Mining (ICDM'04), 106-113, 2004
212004
Sequencing of a QTL-rich region of the Theobroma cacao genome using pooled BACs and the identification of trait specific candidate genes
FA Feltus, CA Saski, K Mockaitis, N Haiminen, L Parida, Z Smith, J Ford, ...
BMC genomics 12 (1), 1-16, 2011
182011
Assessing pooled BAC and whole genome shotgun strategies for assembly of complex genomes
N Haiminen, FA Feltus, L Parida
BMC genomics 12 (1), 1-13, 2011
172011
Functional profiling of COVID-19 respiratory tract microbiomes
N Haiminen, F Utro, E Seabolt, L Parida
Scientific reports 11 (1), 1-8, 2021
16*2021
EMPress enables tree-guided, interactive, and exploratory analyses of multi-omic data sets
K Cantrell, MW Fedarko, G Rahman, D McDonald, Y Yang, T Zaw, ...
Msystems 6 (2), e01216-20, 2021
162021
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