The Sparse Inverse Covariance Estimation problem arises in many statistical applications in Machine Learning and Signal Processing. In this problem, the inverse of the covariance matrix of a multivariate normal distribution is estimated, assuming that it is sparse. An I-1 regularized log-determinant.....
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236-237 - Diastereomer Lytic Peptides for Treatment of Solid Tumors and MetastasisDescription: 15-mer (Leu-Lys-Dleu- Leu-Lys-Dlys-Leu-Dleu-Dlys-Lys-Leu-Leu-Dlys-Leu-Leu) and 15-mer Histidin (H-Leu-Lys-D-Leu- Leu-His-D-Lys-Leu-D-Leu-D-Lys-His-Leu-Leu-D-Lys-Leu-Leu-NH2) are membrane-active peptides co.....
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Dedicated and highly efficient EPR analysis of small volume samples in a range of few µl is now made simple with a novel device invented at the Weizmann Institute of Science. This device features a new ejection mechanism and a unique cold trap which enables collection of all time points in a RFQ ser.....
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