A standalone software code has been developed as a result of this study. The code is written in MATLAB that incorporates genetic algorithm (GA) optimization technique to obtain optimum pile dimensions depending upon supporting soil condition and incoming loads. The pile is then designed satisfying ...
The performance of the final GeneCompass was comparable with that of Geneformer and better than other pre-trained models (Fig. 4d). Determining dosage-sensitive genes is of vital importance for interpreting copy number variations (CNVs) in genetic diagnosis. Here, we fine-tuned GeneCompass to ...
FastGlioma has the potential for immediate clinical impact on improving the comprehensive management of patients with diffuse glioma. The prognostic importance of the extent of resection and residual tumour burden has been reproducibly demonstrated in multiple independent international clinical studies2,3,6,...
a详细给出了用遗传算法求解该多目标运输问题的步骤及具体算法实现。 Gave in detail solved this multi-objective transportation question with the genetic algorithm the step and the concrete algorithm realization.[translate] aSUB-FOUNDATION: SUB-FOUNDATION :[translate]...
Applying a causal discovery algorithm to the cell-type-agnostic gene-by-motif matrix led to the discovery of known and previously unknown motif–motif interactions (Fig.4a,Methods: ‘Causal discovery of regulator interaction’; examples shown in Extended Data Fig.7i, Supplementary Figs.5and6, and...
One crucial objective of some of these tools is to assist in understanding which amongst the billions of genetic variations in humans are likely driving disease mechanisms. These variations are called pathogenic. Undertaking this task on a large scale, involving whole genome sequencing...
Corrigendum to “The Biological Foundation of the Genetic Association of TOMM40 with Late-onset Alzheimer's disease” [Biochim. Biophys. Acta 1863/11 (2017) 2973–2986] Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Volume 1864, Issue 4, Part A, April 2018, Pages 1216 ...
Fast and scalable search of whole-slide images via self-supervised deep learning. Nat. Biomed. Eng. 6, 1420–1434 (2022). Article PubMed PubMed Central Google Scholar Kather, J. N. et al. Pan-cancer image-based detection of clinically actionable genetic alterations. Nat. Cancer 1, 789...
Our GFMs use multitask learning (MTL) to simultaneously learn graph-level and node-level properties of atomistic structures, such as energy and atomic forces. Using over 154 million atomistic structures for training, we illustrate the performance of our approach along with the lessons learned on ...
7.The system of claim 6, wherein:a first population of the genetic algorithm routine is initialized based on the fine-gene set; anda mutation operation is performed using the complementary-gene set. 8.The system of claim 1, wherein the at least one computing device is further directed to ...