Results derived from <i>D</i>-SPR analysis at 25°C: <i>D</i>-SPR values refer to the <i>D</i> calculated with the Python script; <i>error</i> column reports the standard deviation... حسب Gabriele Antonio Zingale (12463357)

Results derived from <i>D</i>-SPR analysis of the lysozyme (349μM) at 25°C: <i>D</i>-SPR values refer to the <i>D</i> calculated with the Python script described previously; the <i... حسب Gabriele Antonio Zingale (12463357)

Correlation (a) and Mean-Absolute-Error (b) between frequencies at a reference cutoff, δ₀, and different frequencies, , at different cutoff-values, δ_scan ∊ [3... حسب Guillermo Pérez-Hernández (21156182)

Comparison of window size for embedding with Wordnet synonym replacement (WN) and without (PM). While Table 1 compared the effects of different values of using a window size of 10,... حسب Enock Niyonkuru (21246879)

Comparison of tools with features similar to <i>bmdrc,</i> and a descriptions of the modules within the <i>bmdrc</i> package.  حسب David J. Degnan (13886280)

System Hardware ID Generator Script: A Cross-Platform Hardware Identification Tool حسب Pavel Izosimov (20096259)

Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence" حسب Yifei Gu (9507104)

Modeling lung cancer AST network and its perturbation with a SOX2 degrader. (A) Lung Cancer AST Network and the corresponding stochastic equations. Parameters are , , , , , , , , w... حسب Ziyan Jin (21021976)

Data for "A hollow fiber membrane permeance evaluation device demonstrating outside-in and inside-out performance differences" حسب Timothy Warner (20222838)

Segmentation module training details. حسب Khelina Fedorchuk (19130089)

Missing Value Imputation in Relational Data Using Variational Inference حسب Simon Fontaine (7046618)

"…Consequently, we introduce a joint latent space model that produces a low-dimensional representation of the data and simultaneously captures the edge and node attribute information. …"

Overview of one حسب Guillermo Pérez-Hernández (21156182)

Estimating dopamine effects on humans. حسب Domenico Guarino (20428000)

Cross-validation of Lasso regression of enhanced CT images. حسب Jiangfa Li (18345033)

Cross-validation of Lasso regression of enhanced MRI images. حسب Jiangfa Li (18345033)

The cross-validation diagram of Lasso regression of enhanced CT combined with MRI images. حسب Jiangfa Li (18345033)

<i>Spherical Textures</i> and machine-learning classifications of <i>C. elegans</i> germline nuclei. حسب Oane Gros (20636735)

Differences in compartment weights explain differences between EEG and ECoG. حسب Joseph James Tharayil (21416715)

Copy number contingency table. حسب Yang Wu (66682)

"…This study introduced a deep learning model PASO, which integrated transformer encoder, multi-scale convolutional networks and attention mechanisms to predict the sensitivity of cell lines to anticancer drugs, based on the omics data of cell lines and the SMILES representations of drug molecules. First, we use statistical methods to compute the differences in gene expression, gene mutation, and gene copy number variations between within and outside biological pathways, and utilized these pathway difference values as cell line features, combined with the drugs’ SMILES chemical structure information as inputs to the model. …"

Gene mutation contingency table. حسب Yang Wu (66682)

"…This study introduced a deep learning model PASO, which integrated transformer encoder, multi-scale convolutional networks and attention mechanisms to predict the sensitivity of cell lines to anticancer drugs, based on the omics data of cell lines and the SMILES representations of drug molecules. First, we use statistical methods to compute the differences in gene expression, gene mutation, and gene copy number variations between within and outside biological pathways, and utilized these pathway difference values as cell line features, combined with the drugs’ SMILES chemical structure information as inputs to the model. …"