One advantage of our algorithm is that it is not binary in nature. حسب Yong Kuk Kim (13955214)

Related Work Summary. حسب Hend Bayoumi (22693738)

Homomorphic binary tree. حسب Jianhua He (341366)

Table1_Computational prediction of allergenic proteins based on multi-feature fusion.DOCX حسب Bin Liu (5899)

Number of highest variance genes selected per omic for each dataset-approach combination. حسب Teemu J. Rintala (19333003)

A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

"…Future work aims to generalize this algorithm for broader biological applications by training additional Cellpose models and adapting the A* framework.…"

Table2_MHIF-MSEA: a novel model of miRNA set enrichment analysis based on multi-source heterogeneous information fusion.XLSX حسب Jianwei Li (135213)

"…These networks were built based on miRNA-disease association, gene ontology (GO) annotation of target genes, and protein-protein interaction of target genes, respectively. …"

Table3_MHIF-MSEA: a novel model of miRNA set enrichment analysis based on multi-source heterogeneous information fusion.XLSX حسب Jianwei Li (135213)

"…These networks were built based on miRNA-disease association, gene ontology (GO) annotation of target genes, and protein-protein interaction of target genes, respectively. …"

Table1_MHIF-MSEA: a novel model of miRNA set enrichment analysis based on multi-source heterogeneous information fusion.XLSX حسب Jianwei Li (135213)

"…These networks were built based on miRNA-disease association, gene ontology (GO) annotation of target genes, and protein-protein interaction of target genes, respectively. …"

Table5_MHIF-MSEA: a novel model of miRNA set enrichment analysis based on multi-source heterogeneous information fusion.XLSX حسب Jianwei Li (135213)

"…These networks were built based on miRNA-disease association, gene ontology (GO) annotation of target genes, and protein-protein interaction of target genes, respectively. …"

Table6_MHIF-MSEA: a novel model of miRNA set enrichment analysis based on multi-source heterogeneous information fusion.XLSX حسب Jianwei Li (135213)

"…These networks were built based on miRNA-disease association, gene ontology (GO) annotation of target genes, and protein-protein interaction of target genes, respectively. …"

Table4_MHIF-MSEA: a novel model of miRNA set enrichment analysis based on multi-source heterogeneous information fusion.XLSX حسب Jianwei Li (135213)

"…These networks were built based on miRNA-disease association, gene ontology (GO) annotation of target genes, and protein-protein interaction of target genes, respectively. …"

Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans. حسب Ramsés Noguez Imm (6658637)

Stability of cancer clustering results with different feature filters. حسب Teemu J. Rintala (19333003)

Stability of cancer clustering results with different pathway sets. حسب Teemu J. Rintala (19333003)

Cancer subtype agreement with different pathway sets. حسب Teemu J. Rintala (19333003)

Cluster survival results with different pathway sets. حسب Teemu J. Rintala (19333003)

Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level حسب Giovanni Nattino (561797)

"…Our algorithm outperforms the nearest neighbor algorithm and is shown to produce matched samples with total distance no larger than twice the optimal distance. …"

Optimal Timings Codebook.xlsx حسب Emma Spillane (11249121)

Analysis and design of algorithms for the manufacturing process of integrated circuits حسب Sonia Fleytas (16856403)

"…The (approximate) solution proposals of state-of-the-art methods include rule-based approaches, genetic algorithms, and reinforcement learning. …"