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A subset of loci could not be evaluated in external datasets due to absence of corresponding variants in available summary statistics

With the Gaussian assumption, the Kalman filter based methods attempt to provide the best linear unbiased estimator by taking advantage of the estimated observation error covariance matrix o R and the estimated background error covariance matrix of the combined fluid and drifter states defined aswhere P FF and P DD define the background error covariance matrices of the fluid state vector and the drifters state vector, respectively

Tumor heterogeneity in autophagy-dependent ferroptosis

Sedenho-Prado LG, Yugar LBT, Whitaker AR, Martins MP, Jesus DC, Ferreira I, et al