Search results
- ...ne set analysis methods: a systematic comparison, 2018, BioData mining, 11(1), 8. ...nal publication for the prostate data template and in the "Additional File 1" for the other templates.7 KB (938 words) - 13:54, 25 February 2020
- ...ls of high-density oligonucleotide SNP array data. Biostatistics. 2007 Apr 1;8(2):485-99.2 KB (196 words) - 09:42, 25 February 2020
- ...enome-Scale Biochemical Reaction Networks]. PLoS computational biology, 13(1), e1005331.355 bytes (39 words) - 11:57, 25 February 2020
- ...issues and methodological solutions. Briefings in bioinformatics. 2015 Nov 1;16(6):974-86.2 KB (205 words) - 10:22, 25 February 2020
- ...ion of miRNA-seq data preprocessing. Briefings in bioinformatics. 2015 Nov 1;16(6):950-63.1 KB (190 words) - 10:05, 25 February 2020
- Outcome O1 is presented as Figure 1 in the original publication. ...umber of parameters) are randomly generated with -0.1 > p<sub>i</sub> > -1.1.6 KB (918 words) - 15:20, 25 February 2020
- ...a the number of missing values highly depends on peptide intensity (Figure 1)2 KB (241 words) - 11:49, 25 February 2020
- 1. The optimization-based approaches: in which a parameter is fixed and are o3 KB (480 words) - 14:48, 25 February 2020
- a comparative study and two selection schemes. BMC Bioinformatics, 9(1):12.2 KB (206 words) - 11:41, 25 February 2020
- ...global optimum than a single shooting approach, as can be seen from Figure 1 and 2 in the original publication. However, this comes at the cost of incre ...red to the alternatives in the two tested models, which is listed in Table 1 and Table 2 and demonstrated in Figure 3 in the publication.2 KB (338 words) - 14:08, 26 February 2020
- * Only chromosome 1 was analyzed because of huge computation times10 KB (1,483 words) - 11:38, 25 February 2020
- ...hree replicates and by randomly permute over samples for each CgG (termed "1. permutation" below), the following performance was observed: * Only regions with at least 3 CpGs and at least 0.1 for the "mean methylation level" were considered as DMRs.6 KB (952 words) - 11:38, 25 February 2020
- Outcome O1 is presented as Venn diagram in Figure 1 of the original publication. ...s (except FET with cutoff=13.8) fail for the setting "pseudo gene set with 1-2 strongly associated SNPs4 KB (639 words) - 13:03, 25 February 2020
- * Four different parallelization levels (1 vs. 2 cores, 1 vs. 4, 1 vs. 8, and 1 vs. 16)5 KB (617 words) - 11:52, 25 February 2020
- ...s data analysis. Rapid Communications in Mass Spectrometry. 2015 Jan 15;29(1):119-27.2 KB (199 words) - 13:02, 25 February 2020
- ...for high-throughput quantitative RT-PCR. BMC bioinformatics. 2009 Dec 1;10(1):110.2 KB (200 words) - 13:29, 25 February 2020
- ...g methods for predictive proteomics. Briefings in bioinformatics. 2008 Mar 1;9(2):119-28.1 KB (196 words) - 13:46, 25 February 2020
- ...model improves accuracy, depth of discovery and internal coverage (Figures 1,2,3) ...n,Svd,Knn), which rely on interblock information, on all datasets (Figures 1,2,3)2 KB (244 words) - 14:33, 2 February 2021
- ...are platform for high-throughput glycomics. Analytical chemistry. 2009 May 1;81(9):3252-60.1 KB (188 words) - 13:58, 25 February 2020
- Alternatively, steps 1.-3. might be replaced by a single global test. ...with different levels of differential expression (delta \in {0, 0.75, 1, -1}) were simulated6 KB (854 words) - 15:40, 25 February 2020
- ...and integration of metabolomics experiment data. Bioinformatics. 2008 Dec 1;24(23):2726-32.2 KB (205 words) - 14:04, 25 February 2020
- ...bolomic data analysis and interpretation. Nucleic acids research. 2009 Jul 1;37(suppl_2):W652-60.1 KB (198 words) - 14:12, 25 February 2020
- "KNN is relatively insensitive to .. K within the range of k=10-20" (Figure 1) Analysis is performed over a broad range of hyperparameters (KNN: k=[1,1000], SVD: Eigengenes=[5,30]).1 KB (152 words) - 15:22, 25 February 2020
- ...le genome bisulfite sequencing data. Briefings in bioinformatics. 2016 Nov 1;17(6):938-52.2 KB (196 words) - 14:32, 25 February 2020
- ...a the number of missing values highly depends on peptide intensity (Figure 1)2 KB (236 words) - 14:44, 25 February 2020
- ...rd for benchmarking gene set enrichment analysis, 2020, Bioinformatics, 0, 1-122 KB (313 words) - 15:57, 25 February 2020
- ...us wavelet transform. International Journal of Mass Spectrometry. 2016 Nov 1;409:53-8.2 KB (204 words) - 07:11, 26 February 2020
- ...tinuous wavelet transform-based pattern matching. Bioinformatics. 2006 Sep 1;22(17):2059-65.2 KB (195 words) - 07:15, 26 February 2020
- ...complexes. Journal of the American Society for Mass Spectrometry. 2015 Sep 1;26(12):2141-51.2 KB (215 words) - 07:26, 26 February 2020
- ...etabolites by scoring peaks of GC-MS data. BMC bioinformatics. 2014 Dec;15(1):374.1 KB (198 words) - 07:36, 26 February 2020
- ...ratio extraction, termed MaxLFQ. Molecular & cellular proteomics. 2014 Sep 1;13(9):2513-26.2 KB (204 words) - 15:32, 27 February 2020
- ...mizing data manipulation chains. Molecular & Cellular Proteomics. 2019 Aug 1;18(8):1683-99.2 KB (217 words) - 17:23, 8 November 2020
- ...ue imputation methods in label-free proteomics. Scientific reports, 11(1), 1-11.513 bytes (63 words) - 14:32, 2 February 2021
- ...roduce different results across 38 datasets. Nature Communications, 13(1), 1-16.2 KB (206 words) - 14:33, 18 February 2022
- ...compositionality and sampling depth biases. Nature communications, 12(1), 1-12.2 KB (205 words) - 14:38, 18 February 2022
- ...equencing platforms for 16S rRNA community profiling. BMC genomics, 17(1), 1-20.2 KB (210 words) - 14:47, 18 February 2022
- ...nd ensemble approaches for metagenomic classifiers. Genome biology, 18(1), 1-19.2 KB (204 words) - 15:14, 18 February 2022
- ...a: a public resource for microbiome bioinformatics benchmarking. Msystems, 1(5), e00062-16.2 KB (203 words) - 15:50, 18 February 2022
- ...A-seq, and metagenomics applied to microbiome data. Genome biology, 21(1), 1-31. [https://doi.org/10.1186/s13059-020-02104-1 Permanent link to the paper]2 KB (203 words) - 15:53, 18 February 2022