131 related articles for article (PubMed ID: 32702108)
1. treeheatr: an R package for interpretable decision tree visualizations.
Le TT; Moore JH
Bioinformatics; 2021 Apr; 37(2):282-284. PubMed ID: 32702108
[TBL] [Abstract][Full Text] [Related]
2. Unipept Visualizations: an interactive visualization library for biological data.
Verschaffelt P; Collier J; Botzki A; Martens L; Dawyndt P; Mesuere B
Bioinformatics; 2022 Jan; 38(2):562-563. PubMed ID: 34390575
[TBL] [Abstract][Full Text] [Related]
3. R.ROSETTA: an interpretable machine learning framework.
Garbulowski M; Diamanti K; Smolińska K; Baltzer N; Stoll P; Bornelöv S; Øhrn A; Feuk L; Komorowski J
BMC Bioinformatics; 2021 Mar; 22(1):110. PubMed ID: 33676405
[TBL] [Abstract][Full Text] [Related]
4. heatmaply: an R package for creating interactive cluster heatmaps for online publishing.
Galili T; O'Callaghan A; Sidi J; Sievert C
Bioinformatics; 2018 May; 34(9):1600-1602. PubMed ID: 29069305
[TBL] [Abstract][Full Text] [Related]
5. SmCCNet 2.0: A Comprehensive Tool for Multi-omics Network Inference with Shiny Visualization.
Liu W; Vu T; Konigsberg I; Pratte K; Zhuang Y; Kechris K
bioRxiv; 2024 Apr; ():. PubMed ID: 38045372
[TBL] [Abstract][Full Text] [Related]
6. ggseqlogo: a versatile R package for drawing sequence logos.
Wagih O
Bioinformatics; 2017 Nov; 33(22):3645-3647. PubMed ID: 29036507
[TBL] [Abstract][Full Text] [Related]
7. longmixr: a tool for robust clustering of high-dimensional cross-sectional and longitudinal variables of mixed data types.
Hagenberg J; Budde M; Pandeva T; Kondofersky I; Schaupp SK; Theis FJ; Schulze TG; Müller NS; Heilbronner U; Batra R; Knauer-Arloth J
Bioinformatics; 2024 Mar; 40(4):. PubMed ID: 38485697
[TBL] [Abstract][Full Text] [Related]
8. promor: a comprehensive R package for label-free proteomics data analysis and predictive modeling.
Ranathunge C; Patel SS; Pinky L; Correll VL; Chen S; Semmes OJ; Armstrong RK; Combs CD; Nyalwidhe JO
Bioinform Adv; 2023; 3(1):vbad025. PubMed ID: 36922981
[TBL] [Abstract][Full Text] [Related]
9. ExplaineR: an R package to explain machine learning models.
Zargari Marandi R
Bioinform Adv; 2024; 4(1):vbae049. PubMed ID: 38577543
[TBL] [Abstract][Full Text] [Related]
10. Predictive and interpretable models via the stacked elastic net.
Rauschenberger A; Glaab E; van de Wiel MA
Bioinformatics; 2021 Aug; 37(14):2012-2016. PubMed ID: 32437519
[TBL] [Abstract][Full Text] [Related]
11.
Zhao Z; Zucknick M; Aittokallio T
Bioinform Adv; 2022; 2(1):vbac073. PubMed ID: 36699400
[TBL] [Abstract][Full Text] [Related]
12. RCandy: an R package for visualizing homologous recombinations in bacterial genomes.
Chaguza C; Tonkin-Hill G; Lo SW; Hadfield J; Croucher NJ; Harris SR; Bentley SD
Bioinformatics; 2022 Feb; 38(5):1450-1451. PubMed ID: 34864895
[TBL] [Abstract][Full Text] [Related]
13. survex: an R package for explaining machine learning survival models.
Spytek M; Krzyziński M; Langbein SH; Baniecki H; Wright MN; Biecek P
Bioinformatics; 2023 Dec; 39(12):. PubMed ID: 38039146
[TBL] [Abstract][Full Text] [Related]
14. G3viz: an R package to interactively visualize genetic mutation data using a lollipop-diagram.
Guo X; Zhang B; Zeng W; Zhao S; Ge D
Bioinformatics; 2020 Feb; 36(3):928-929. PubMed ID: 31393560
[TBL] [Abstract][Full Text] [Related]
15. dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clustering.
Galili T
Bioinformatics; 2015 Nov; 31(22):3718-20. PubMed ID: 26209431
[TBL] [Abstract][Full Text] [Related]
16. ggmotif: An R Package for the extraction and visualization of motifs from MEME software.
Li X; Ma L; Mei X; Liu Y; Huang H
PLoS One; 2022; 17(11):e0276979. PubMed ID: 36327240
[TBL] [Abstract][Full Text] [Related]
17. hacksig: a unified and tidy R framework to easily compute gene expression signature scores.
Carenzo A; Pistore F; Serafini MS; Lenoci D; Licata AG; De Cecco L
Bioinformatics; 2022 May; 38(10):2940-2942. PubMed ID: 35561166
[TBL] [Abstract][Full Text] [Related]
18. RMTL: an R library for multi-task learning.
Cao H; Zhou J; Schwarz E
Bioinformatics; 2019 May; 35(10):1797-1798. PubMed ID: 30256897
[TBL] [Abstract][Full Text] [Related]
19. dipm: an R package implementing the Depth Importance in Precision Medicine (DIPM) tree and Forest-based method.
Chen V; Li C; Zhang H
Bioinform Adv; 2022; 2(1):vbac041. PubMed ID: 35785020
[TBL] [Abstract][Full Text] [Related]
20. CHOIRBM: An R package for exploratory data analysis and interactive visualization of pain patient body map data.
Cramer E; Ziadni M; Scherrer KH; Mackey S; Kao MC
PLoS Comput Biol; 2022 Oct; 18(10):e1010496. PubMed ID: 36301800
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
