The preprocessing procedure used in the construction of the sample dataset based on resting state fMRI (rsfMRI) data in three frequency bands.Delong ZhangBo LiuJun ChenXiaoling PengXian LiuYuanyuan FanMing LiuRuiwang Huang
1F, S1). For positive cells in the [Math Processing Error]Ntotal−X vs [Math Processing Error]Ntotal space, however, the RQRs deviate from normal for several tags in the real dataset (Additional file 1: Fig. S1), likely due to the presence of doublets. Interestingly, we found the ...
We use Various forms of deep neural networks as the foundational models under the multi-task learning framework, and perform training validation and testing on the classic QUIC dataset. The challenges and contributions of this paper include: (1) Need for extensive labeled data: traditional ...
Since the current study is based on a comprehensive dataset consisting of languages from predominantly non-WEIRD communities from all parts of the world, the distribution of the effect indicates a universal tendency in spoken languages. Our findings are consistent with models that argue for the dual...
Applying SampleQC to this dataset shows similar results to those for the simulation: where a cell population is present in the whole dataset but only makes up a small proportion of a sample, SampleQC is better able to preserve these cells than scater and miQC (Fig. 5). The Mahalanobis di...
For the tabular data we use (Baqui et al., 2020)’s preprocessed version of the SIVEP-GRIPE dataset of Brazilian ICU Covid-19 patient data. For the image experiments, we use the 10,000 samples in the default MNIST test set (LeCun, 1998). For proper evaluation of the authenticity ...
Single-particle cryo-EM data collection and preprocessing The 70S ribosome, 20S proteasome and apo-ferritin dataset were collected on a Titan Krios microscope (FEI) equipped with a Gatan K3 Summit camera operating at 300 kV. The ACE2 and streptavidin datasets were collected on a Titan Krios ...
We have converted the corpus data to the Cross-Linguistic Data Format (CLDF)71,72to facilitate the reuse of the data and replication of our results. A detailed description of using the corpus as a CLDF dataset is provided as Supplementary Information sectionA. All preprocessing steps were handle...
“fuzzy,” indicating uncertainty regarding the presence of barcodes in these particular sequences. Ultimately, we constructed barcode labels for 120,947 sequences, forming a dataset known as the amplicon library. In amplicon library, we useEdlib[39] to locate the fixed region of the barcode ...
a UMAP embedding of the sample-specific manifold distortions learned by GEDI for the PBMC dataset. Each sample was encoded using the set of sample-specific manifold parameters learned by GEDI (excluding sample-specific translation vectors Δoi), followed by regressing out the effect of technology fr...