钢盔 发表于 2025-3-30 12:17:08

Deep Mining from Omics Datadely available to researchers. This has afforded clinicians, bioinformaticians, statisticians, and data scientists the opportunity to apply their innovations in feature mining and predictive modeling to a rich data resource to develop a wide range of generalizable prediction models. What has become

妈妈不开心 发表于 2025-3-30 13:16:06

http://reply.papertrans.cn/27/2630/262908/262908_52.png

antidote 发表于 2025-3-30 18:49:16

Christian Zinke-Wehlmann,Julia Friedrichw how to cope with the problem of understanding which protein positions may be of interest for biotechnological and biomedical purposes. By applying a consensus procedure, we indicate possible strategies for the result interpretation.

craving 发表于 2025-3-30 20:59:40

http://reply.papertrans.cn/27/2630/262908/262908_54.png

Tidious 发表于 2025-3-31 03:43:08

W. Mulder,P. H. H. Rongen,G. R. Meijerst dedicated software to predict pH-dependent aggregation, and DispHred is the first pH-dependent predictor of protein disorder. Here we dissect the features of these two software applications to train and assist scientists in studying pH-dependent conformational changes in IDPs.

Blood-Clot 发表于 2025-3-31 08:23:49

IMEx Databases: Displaying Molecular Interactions into a Single, Standards-Compliant Datasette molecular interaction data to the highest caliber, following a detailed curation model and supplying rich metadata by employing common curation rules and harmonized standards. The IMEx Consortium provides comprehensively annotated molecular interaction data integrated into a single, non-redundant, open access dataset.
页: 1 2 3 4 5 [6]
查看完整版本: Titlebook: Data Mining Techniques for the Life Sciences; Oliviero Carugo,Frank Eisenhaber Book 2022Latest edition The Editor(s) (if applicable) and T