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

Functional analysis of the oral dysbiosis dataset using molecular function GO terms. by Ray Sajulga (5721518)

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

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

The algorithm is designed to identify patterns in the treatment dataset. by Belén Otero-Carrasco (21262360)

“…<p>This process involves two key functions. First, from lines 1 to 8, the algorithm identifies amino acids that meet the occurrence threshold, starting with patterns of length 1. …”

Data from: Structural and Functional Analysis of Multi-interface Domains by 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. …”

“Integration and prediction” panel for CoV-human protein-protein interaction network. by Paolo Perlasca (9909695)

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Top 10 largest attribute coefficients in the logistic decision function. by Irene Unceta (9596422)

Analysis of the limit cases of the sampling function. by Greta Grassmann (12418506)

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

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

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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)

Reagents, software, and algorithms used in the study with their sources for result reproduction. by Aanchal Yadav (14206853)

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. …”

Table1_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. …”

Our algorithms process large data sets within a minute. by Manu Aggarwal (15990691)

(a-b) The LASSO algorithm was used for hyperparameter tuning and identification of the important predictive features. by Devi Soorya Narayana Sasikumar (22331743)

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