First, for each gene in the data set we create a broad document (which we call the gene-document). It is produced by concatenating all the relevant abstracts and titles associated with the gene in the corpus. Second, each gene-document is converted into its vector space representation. ...
Here, we designed an rVSV-based vaccine (rVSV-∆G-spike), in which the VSV-G protein is replaced with the SARS-CoV-2 S protein, creating a recombinant replicating virus. In this work, we created a cDNA vector encoding the sequence of the N, P, M, and L genes of the VSV ...
indexes store information about the attributes of unstructured data, such as text, images, or audio files. This information is represented by a set of numbers called a vector. The vector index holds this data and “indexes” it in a way that helps a database quickly identify and match ...
This paper presents an image inpainting method based on sparse representations optimized with respect to a perceptual metric. In the proposed method, the structural similarity (SSIM) index is utilized as a criterion to optimize the representation perform
Reuse of mathematical models becomes increasingly important in systems biology as research moves toward large, multi-scale models composed of heterogeneous subcomponents. Currently, many models are not easily reusable due to inflexible or confusing code,
vectormagnitudedirection向量vectorsscalar Magnitude and Direction of a Vector A vector is a quantity that has both magnitude and direction. (Magnitude = size) Looking for some real life Vector Quantities??... · You travel 30 km in a Northerly direction (magnitude is 30 km, direction is North...
Each word embedding is now represented by an embedding vector of dimension 5, and the values are filled with random numbers using the Excel function RAND().现在,每个词嵌入都由维度为 5 的嵌入向量表示,并且使用 Excel 函数 RAND() 用随机数填充值。 Step 4 (Positional Embedding)步骤4(位置嵌入) ...
Determine the magnitude and direction of the following vector : {eq}\vec{a}=(4.0\hat{i}-6.0\hat{j})m/s^2\\ a =...m/s^2 \\ \theta_a = ...^{\circ} {/eq}right of -y axis Vectors: Magnitude and Directions: The ...
Serial Analysis of Gene Expression (SAGE) is a high-throughput method for inferring mRNA expression levels from the experimentally generated sequence based tags. Standard analyses of SAGE data, however, ignore the fact that the probability of generating
Humans can separately recognize independent sources when they sense their superposition. This decomposition is mathematically formulated as independent component analysis (ICA). While a few biologically plausible learning rules, so-called local learning