Verification of the in-line PS function. حسب Raul Castañeda (13932971)

Available functions in the utility package. حسب Raul Castañeda (13932971)

Orphan protein pairs 309549 and sibling score حسب R Prabakaran (16529484)

الموضوعات:

Functional PCA With Covariate-Dependent Mean and Covariance Structure حسب Fei Ding (134577)

"…<p>Incorporating covariates into functional principal component analysis (PCA) can substantially improve the representation efficiency of the principal components and predictive performance. …"

Flowchart of one iteration of the CE-Symm algorithm. حسب Spencer E. Bliven (6672755)

الموضوعات:

The proposed method for protein function prediction. حسب Seyyede Fatemeh Seyyedsalehi (10196767)

الموضوعات:

Principal component analysis of the total and sampled points Zernike vectors for four binding regions. حسب Greta Grassmann (12418506)

الموضوعات:

Orphan protein sequences - 11444 حسب R Prabakaran (16529484)

الموضوعات:

Data_Sheet_1_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.PDF حسب Josefa Díaz-Álvarez (5572427)

"…Genetic algorithms, customized with K-Nearest Neighbor and BayesNet Naives as the fitness function, were developed and compared with Principal Component Analysis (PCA). …"

Table_4_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX حسب Josefa Díaz-Álvarez (5572427)

"…Genetic algorithms, customized with K-Nearest Neighbor and BayesNet Naives as the fitness function, were developed and compared with Principal Component Analysis (PCA). …"

Table_1_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX حسب Josefa Díaz-Álvarez (5572427)

"…Genetic algorithms, customized with K-Nearest Neighbor and BayesNet Naives as the fitness function, were developed and compared with Principal Component Analysis (PCA). …"

Table_2_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX حسب Josefa Díaz-Álvarez (5572427)

"…Genetic algorithms, customized with K-Nearest Neighbor and BayesNet Naives as the fitness function, were developed and compared with Principal Component Analysis (PCA). …"

Table_5_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.docx حسب Josefa Díaz-Álvarez (5572427)

"…Genetic algorithms, customized with K-Nearest Neighbor and BayesNet Naives as the fitness function, were developed and compared with Principal Component Analysis (PCA). …"

Data_Sheet_2_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.PDF حسب Josefa Díaz-Álvarez (5572427)

"…Genetic algorithms, customized with K-Nearest Neighbor and BayesNet Naives as the fitness function, were developed and compared with Principal Component Analysis (PCA). …"

Table_3_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX حسب Josefa Díaz-Álvarez (5572427)

"…Genetic algorithms, customized with K-Nearest Neighbor and BayesNet Naives as the fitness function, were developed and compared with Principal Component Analysis (PCA). …"

Available functions in the phase-shifting package. حسب Raul Castañeda (13932971)

Available functions in the numerical propagation package. حسب Raul Castañeda (13932971)

Available functions in the phase reconstruction package. حسب Raul Castañeda (13932971)

Data from: Structural and Functional Analysis of Multi-interface Domains حسب ZHAO Liang (8657694)

"…This work applies graph theory and algorithms to discover fingerprints for the multiple interfaces of a domain and to establish associations between the interfaces and functions, based on a huge set of multi-interface proteins from PDB. …"

Reconstructing <i>sparse</i>, binary patterns using message passing algorithms and PCA. حسب Sebastian Goldt (14522594)

"…<p>We plot the mse per pattern obtained by the AMP algorithm, <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e072" target="_blank">Eq (32)</a>, as a function of the effective noise Δ (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e032" target="_blank">9</a>), for random (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e044" target="_blank">15</a>) and informed (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e045" target="_blank">16</a>) initialisations. …"