Patterson M - Search Results

1

Effective Clustering for Single Cell Sequencing Cancer Data.

Ciccolella S, Patterson M, Bonizzoni P, Della Vedova G. Ciccolella S, et al. Among authors: patterson m. IEEE J Biomed Health Inform. 2021 Nov;25(11):4068-4078. doi: 10.1109/JBHI.2021.3081380. Epub 2021 Nov 5. IEEE J Biomed Health Inform. 2021. PMID: 34003758

2

HapCHAT: adaptive haplotype assembly for efficiently leveraging high coverage in long reads.

Beretta S, Patterson MD, Zaccaria S, Della Vedova G, Bonizzoni P. Beretta S, et al. BMC Bioinformatics. 2018 Jul 3;19(1):252. doi: 10.1186/s12859-018-2253-8. BMC Bioinformatics. 2018. PMID: 29970002 Free PMC article.

3

Inferring cancer progression from Single-Cell Sequencing while allowing mutation losses.

Ciccolella S, Ricketts C, Soto Gomez M, Patterson M, Silverbush D, Bonizzoni P, Hajirasouliha I, Della Vedova G. Ciccolella S, et al. Among authors: patterson m. Bioinformatics. 2021 Apr 20;37(3):326-333. doi: 10.1093/bioinformatics/btaa722. Bioinformatics. 2021. PMID: 32805010 Free PMC article.

4

gpps: an ILP-based approach for inferring cancer progression with mutation losses from single cell data.

Ciccolella S, Soto Gomez M, Patterson MD, Della Vedova G, Hajirasouliha I, Bonizzoni P. Ciccolella S, et al. Among authors: patterson md. BMC Bioinformatics. 2020 Dec 9;21(Suppl 1):413. doi: 10.1186/s12859-020-03736-7. BMC Bioinformatics. 2020. PMID: 33297943 Free PMC article.

5

Simpler and Faster Development of Tumor Phylogeny Pipelines.

Ali S, Ciccolella S, Lucarella L, Vedova GD, Patterson M. Ali S, et al. Among authors: patterson m. J Comput Biol. 2021 Nov;28(11):1142-1155. doi: 10.1089/cmb.2021.0271. Epub 2021 Oct 25. J Comput Biol. 2021. PMID: 34698531 Free article.

6

Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data.

Chourasia P, Ali S, Ciccolella S, Vedova GD, Patterson M. Chourasia P, et al. Among authors: patterson m. J Comput Biol. 2023 Apr;30(4):469-491. doi: 10.1089/cmb.2022.0424. Epub 2023 Feb 2. J Comput Biol. 2023. PMID: 36730750

7

From Alpha to Zeta: Identifying Variants and Subtypes of SARS-CoV-2 Via Clustering.

Melnyk A, Mohebbi F, Knyazev S, Sahoo B, Hosseini R, Skums P, Zelikovsky A, Patterson M. Melnyk A, et al. Among authors: patterson m. J Comput Biol. 2021 Nov;28(11):1113-1129. doi: 10.1089/cmb.2021.0302. Epub 2021 Oct 25. J Comput Biol. 2021. PMID: 34698508 Free PMC article.

8

Efficient analysis of COVID-19 clinical data using machine learning models.

Ali S, Zhou Y, Patterson M. Ali S, et al. Among authors: patterson m. Med Biol Eng Comput. 2022 Jul;60(7):1881-1896. doi: 10.1007/s11517-022-02570-8. Epub 2022 May 4. Med Biol Eng Comput. 2022. PMID: 35507111 Free PMC article.

9

Determining Significant Correlation Between Pairs of Extant Characters in a Small Parsimony Framework.

Khandai K, Navarro-Martinez C, Smith B, Buonopane R, Byun SA, Patterson M. Khandai K, et al. Among authors: patterson m. J Comput Biol. 2022 Oct;29(10):1132-1154. doi: 10.1089/cmb.2022.0141. Epub 2022 Jun 20. J Comput Biol. 2022. PMID: 35723627

10

Runx1 is sufficient but not required for cardiomyocyte cell cycle activation.

Akins KA, Flinn MA, Swift SK, Chanjeevaram SV, Purdy AL, Buddell T, Kolell ME, Andresen KG, Paddock S, Buday SL, O'Meara CC, Veldman MB, Patterson M. Akins KA, et al. Among authors: patterson m. Am J Physiol Heart Circ Physiol. 2024 Jun 7. doi: 10.1152/ajpheart.00782.2023. Online ahead of print. Am J Physiol Heart Circ Physiol. 2024. PMID: 38847758

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My NCBI Filters

Text availability

Article attribute

Article type

Publication date

1,970 results

Search Page