452 related articles for article (PubMed ID: 30256897)
1. 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]
2. dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning.
Cao H; Zhang Y; Baumbach J; Burton PR; Dwyer D; Koutsouleris N; Matschinske J; Marcon Y; Rajan S; Rieg T; Ryser-Welch P; Späth J; ; Herrmann C; Schwarz E
Bioinformatics; 2022 Oct; 38(21):4919-4926. PubMed ID: 36073911
[TBL] [Abstract][Full Text] [Related]
3. Dataset-aware multi-task learning approaches for biomedical named entity recognition.
Zuo M; Zhang Y
Bioinformatics; 2020 Aug; 36(15):4331-4338. PubMed ID: 32415963
[TBL] [Abstract][Full Text] [Related]
4. RANKS: a flexible tool for node label ranking and classification in biological networks.
Valentini G; Armano G; Frasca M; Lin J; Mesiti M; Re M
Bioinformatics; 2016 Sep; 32(18):2872-4. PubMed ID: 27256314
[TBL] [Abstract][Full Text] [Related]
5. The revival of the Gini importance?
Nembrini S; König IR; Wright MN
Bioinformatics; 2018 Nov; 34(21):3711-3718. PubMed ID: 29757357
[TBL] [Abstract][Full Text] [Related]
6. An R package VIGoR for joint estimation of multiple linear learners with variational Bayesian inference.
Onogi A; Arakawa A
Bioinformatics; 2022 Jun; 38(12):3306-3309. PubMed ID: 35575313
[TBL] [Abstract][Full Text] [Related]
7. CANDI: an R package and Shiny app for annotating radiographs and evaluating computer-aided diagnosis.
Badgeley MA; Liu M; Glicksberg BS; Shervey M; Zech J; Shameer K; Lehar J; Oermann EK; McConnell MV; Snyder TM; Dudley JT
Bioinformatics; 2019 May; 35(9):1610-1612. PubMed ID: 30304439
[TBL] [Abstract][Full Text] [Related]
8. Muxstep: an open-source C ++ multiplex HMM library for making inferences on multiple data types.
Veličković P; Liò P
Bioinformatics; 2016 Aug; 32(16):2562-4. PubMed ID: 27153633
[TBL] [Abstract][Full Text] [Related]
9. R.JIVE for exploration of multi-source molecular data.
O'Connell MJ; Lock EF
Bioinformatics; 2016 Sep; 32(18):2877-9. PubMed ID: 27273669
[TBL] [Abstract][Full Text] [Related]
10. ndexr-an R package to interface with the network data exchange.
Auer F; Hammoud Z; Ishkin A; Pratt D; Ideker T; Kramer F
Bioinformatics; 2018 Feb; 34(4):716-717. PubMed ID: 29087446
[TBL] [Abstract][Full Text] [Related]
11. mOWL: Python library for machine learning with biomedical ontologies.
Zhapa-Camacho F; Kulmanov M; Hoehndorf R
Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36534832
[TBL] [Abstract][Full Text] [Related]
12. A Divide-and-Conquer Method for Scalable Robust Multitask Learning.
Pan Y; Xia R; Yin J; Liu N
IEEE Trans Neural Netw Learn Syst; 2015 Dec; 26(12):3163-75. PubMed ID: 25775500
[TBL] [Abstract][Full Text] [Related]
13. Genefu: an R/Bioconductor package for computation of gene expression-based signatures in breast cancer.
Gendoo DM; Ratanasirigulchai N; Schröder MS; Paré L; Parker JS; Prat A; Haibe-Kains B
Bioinformatics; 2016 Apr; 32(7):1097-9. PubMed ID: 26607490
[TBL] [Abstract][Full Text] [Related]
14. KODAMA: an R package for knowledge discovery and data mining.
Cacciatore S; Tenori L; Luchinat C; Bennett PR; MacIntyre DA
Bioinformatics; 2017 Feb; 33(4):621-623. PubMed ID: 27993774
[TBL] [Abstract][Full Text] [Related]
15. sismonr: simulation of in silico multi-omic networks with adjustable ploidy and post-transcriptional regulation in R.
Angelin-Bonnet O; Biggs PJ; Baldwin S; Thomson S; Vignes M
Bioinformatics; 2020 May; 36(9):2938-2940. PubMed ID: 31960894
[TBL] [Abstract][Full Text] [Related]
16. aphid: an R package for analysis with profile hidden Markov models.
Wilkinson SP
Bioinformatics; 2019 Oct; 35(19):3829-3830. PubMed ID: 30840059
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. MetaCycle: an integrated R package to evaluate periodicity in large scale data.
Wu G; Anafi RC; Hughes ME; Kornacker K; Hogenesch JB
Bioinformatics; 2016 Nov; 32(21):3351-3353. PubMed ID: 27378304
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Spathial: an R package for the evolutionary analysis of biological data.
Gardini E; Giorgi FM; Decherchi S; Cavalli A
Bioinformatics; 2020 Nov; 36(17):4664-4667. PubMed ID: 32437522
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
