Functional effect prediction of FUS mutations by ten nsSNP prediction algorithms. by L. F. S. Bonet (11502082)

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

Subjects:

Functional enrichment of gene clusters identified in up-regulated drought tolerant network (uDTN) using MCL algorithm. by Sanchari Sircar (198485)

The results of LASSO regression algorithm. by Xue Fu (549661)

Functional enrichment of 17 gene clusters identified in down-regulated drought tolerant network (dDTN) using MCL algorithm. by Sanchari Sircar (198485)

Functions of most frequently mutated genes. by Anda Stan (18056225)

Subjects:

Algorithmic assessment reveals functional implications of GABRD gene variants linked to idiopathic generalized epilepsy by Ayla Arslan (17943365)

“…</p> <p>The study employs a combination of in silico algorithms to analyze 82 variants of unknown clinical significance of GABRD gene sourced from the ClinVar database. …”

Immune infiltration analysis by ssGSEA algorithm. by Yubin Xue (1537042)

Functional enrichment analysis for known genes in AAAKB. by Di Yao (5145401)

Top-ranked hub genes identified by 5 cytoHubba algorithms. by Jun Li (6494)

Immune infiltration analysis by CIBERSORT algorithm. by Lanying Shen (22755930)

Immune infiltration analysis by CIBERSORT algorithm. by Lanying Shen (22755930)

Radius of gyration (RG) of the backbone atoms of the protein as a function of time. by L. F. S. Bonet (11502082)

Solvent-accessible surface area (SASA) of the protein as a function of time. by L. F. S. Bonet (11502082)

Test to find best k-tuple algorithm settings. by Elzbieta Rembeza (5114207)

Illustration of the perturbation of the protein relationship network and NECARE algorithm. by Jiajun Qiu (4684921)

Left: the algorithm’s best estimate of where to put breakpoints for each number of breakpoints considered. by Zhengtian Li (5076704)

Table2_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

“…In this study, the protein–protein interaction network, functional annotation of proteins and a group of direct proteins with known subcellular localization were used to construct models. …”

Table3_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

“…In this study, the protein–protein interaction network, functional annotation of proteins and a group of direct proteins with known subcellular localization were used to construct models. …”

Table4_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

“…In this study, the protein–protein interaction network, functional annotation of proteins and a group of direct proteins with known subcellular localization were used to construct models. …”