Anomaly detection of high-dimensional data is a challenge because the sparsity of the data distribution caused by high dimensionality hardly provides rich information distinguishing anomalous instances from normal instances.To address this, this article proposes an anomaly detection method combining an autoencoder and a sparse weighted least square
Artificial Green Corridors in an Andean City as Effective Support of Avian Diversity
Ensuring connectivity in the countryside and cities is a key element of nature protection, allowing genetic fluxes between populations in fragmented ecosystems.We tested the hypothesis that artificial green corridors are effective for birds in the city of Cochabamba (Bolivia).We compared the following aspects of natural corridors, with generally pr
Co-Regulation of Protein Coding Genes by Transcription Factor and Long Non-Coding RNA in SARS-CoV-2 Infected Cells: An In Silico Analysis
Altered expression of protein coding gene (PCG) and long non-coding RNA (lncRNA) have been identified in SARS-CoV-2 infected cells and tissues from COVID-19 patients.The functional role and mechanism (s) of transcriptional regulation of deregulated genes in COVID-19 remain largely unknown.In the present communication, reanalyzing publicly available