| Nome |
# |
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CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods, file be34ebdd-b334-42cd-921a-c3c222bf1d8e
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317
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Integrating molecular networks with genetic variant interpretation for precision medicine, file e1dcb331-eb0a-7715-e053-1705fe0a6cc9
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144
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Limitations and challenges in protein stability prediction upon genome variations: towards future applications in precision medicine, file e1dcb336-90d3-7715-e053-1705fe0a6cc9
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97
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VpreB serves as an invariant surrogate antigen for selecting immunoglobulin antigen-binding sites, file e1dcb331-3e2e-7715-e053-1705fe0a6cc9
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96
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Fido-SNP: the first webserver for scoring the impact of single nucleotide variants in the dog genome, file e1dcb333-3ff8-7715-e053-1705fe0a6cc9
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88
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DDGun: An untrained method for the prediction of protein stability changes upon single and multiple point variations, file e1dcb334-9de1-7715-e053-1705fe0a6cc9
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81
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Evaluating the predictions of the protein stability change upon single amino acid substitutions for the FXN CAGI5 challenge, file e1dcb333-037a-7715-e053-1705fe0a6cc9
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69
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VarI-COSI 2018: A forum for research advances in variant interpretation and diagnostics, file e1dcb334-6dc1-7715-e053-1705fe0a6cc9
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64
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Protein Stability Perturbation Contributes to the Loss of Function in Haploinsufficient Genes, file e1dcb336-ad2b-7715-e053-1705fe0a6cc9
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49
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PhD-SNPg: a webserver and lightweight tool for scoring single nucleotide variants, file e1dcb32f-4a8f-7715-e053-1705fe0a6cc9
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38
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WALTZ-DB: A benchmark database of amyloidogenic hexapeptides, file e1dcb339-2de7-7715-e053-1705fe0a6cc9
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33
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DOME: recommendations for supervised machine learning validation in biology, file e1dcb338-310e-7715-e053-1705fe0a6cc9
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27
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Analysis and interpretation of the impact of missense variants in cancer, file e1dcb338-8dc1-7715-e053-1705fe0a6cc9
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21
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A deep-learning sequence-based method to predict protein stability changes upon genetic variations, file e1dcb338-f6f9-7715-e053-1705fe0a6cc9
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21
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The three-dimensional folding of the α-globin gene domain reveals formation of chromatin globules, file e1dcb32e-9989-7715-e053-1705fe0a6cc9
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20
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Computational and theoretical methods for protein folding, file e1dcb32e-91f5-7715-e053-1705fe0a6cc9
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18
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DDGun: an untrained predictor of protein stability changes upon amino acid variants, file e8a8a9d0-4a5a-49c0-8ca4-aaf48d29d781
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16
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Computational RNA structure prediction, file e1dcb32e-98a5-7715-e053-1705fe0a6cc9
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15
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Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset, file e1dcb338-a831-7715-e053-1705fe0a6cc9
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13
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All-atom knowledge-based potential for RNA structure prediction and assessment, file e1dcb32e-9899-7715-e053-1705fe0a6cc9
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12
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Comparative Modeling: The State of the Art and Protein Drug Target Structure Prediction, file e1dcb32e-9923-7715-e053-1705fe0a6cc9
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12
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Resources and tools for rare disease variant interpretation, file af5193bb-e802-4a1a-8016-4725f3e12d9d
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10
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Predicting gene expression level in E. coli from mRNA sequence information, file e1dcb334-8ba9-7715-e053-1705fe0a6cc9
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9
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Comparative modeling and structure prediction: Application to drug discovery, file e1dcb32e-91fb-7715-e053-1705fe0a6cc9
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8
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Assessment of protein structure predictions, file e1dcb32e-99fe-7715-e053-1705fe0a6cc9
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8
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RNA structure alignment by a unit-vector approach, file e1dcb32e-9bee-7715-e053-1705fe0a6cc9
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7
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Network-based strategies for protein characterization, file e1dcb339-79aa-7715-e053-1705fe0a6cc9
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7
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Structure comparison and alignment, file e1dcb32e-91fd-7715-e053-1705fe0a6cc9
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6
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WALTZ-DB: A benchmark database of amyloidogenic hexapeptides, file e1dcb32e-99fa-7715-e053-1705fe0a6cc9
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6
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ThermoScan: Semi-automatic Identification of Protein Stability Data From PubMed, file e1dcb338-8dbf-7715-e053-1705fe0a6cc9
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6
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K-Pro: Kinetics Data on Proteins and Mutants, file 40a7f67e-4845-4c3f-8221-bec22bef7d07
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5
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Computational methods for RNA structure prediction and analysis, file e1dcb32e-99fc-7715-e053-1705fe0a6cc9
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5
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The pros and cons of predicting protein contact maps- Protein structure prediction, file e1dcb32e-9a01-7715-e053-1705fe0a6cc9
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5
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Using tertiary structure for the computation of highly accurate multiple RNA alignments with the SARA-Coffee package, file e1dcb32e-91f4-7715-e053-1705fe0a6cc9
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4
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SARA: A server for function annotation of RNA structures, file e1dcb32e-91fa-7715-e053-1705fe0a6cc9
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4
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A minimal model of three-state folding dynamics of helical proteins, file e1dcb32e-9897-7715-e053-1705fe0a6cc9
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4
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Challenges in predicting stabilizing variations: An exploration, file 3264908f-fe3c-483f-bc1e-23eeac6f2f0c
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3
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Bioinformatics for personal genome interpretation, file e1dcb32e-989b-7715-e053-1705fe0a6cc9
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3
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A new disease-specific machine learning approach for the prediction of cancer-causing missense variants, file e1dcb32e-98bb-7715-e053-1705fe0a6cc9
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3
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Bioinformatics and variability in drug response: A protein structural perspective, file e1dcb32e-9925-7715-e053-1705fe0a6cc9
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3
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In silico comparative characterization of pharmacogenomic missense variants, file e1dcb32e-9928-7715-e053-1705fe0a6cc9
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3
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The WWWH of remote homolog detection: The state of the art, file e1dcb32e-9985-7715-e053-1705fe0a6cc9
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3
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Use of estimated evolutionary strength at the codon level improves the prediction of disease related protein mutations in humans, file e1dcb32e-9d81-7715-e053-1705fe0a6cc9
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3
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PhD-SNPg: updating a webserver and lightweight tool for scoring nucleotide variants, file fed572b7-294d-4b43-a917-543668b07086
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3
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ContrastRank: A new method for ranking putative cancer driver genes and classification of tumor samples, file e1dcb32e-91f8-7715-e053-1705fe0a6cc9
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2
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Quantifying the relationship between sequence and three-dimensional structure conservation in RNA, file e1dcb32e-988f-7715-e053-1705fe0a6cc9
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2
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Bioinformatics challenges for personalized medicine, file e1dcb32e-98bd-7715-e053-1705fe0a6cc9
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2
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Computational methods and resources for the interpretation of genomic variants in cancer, file e1dcb32e-992a-7715-e053-1705fe0a6cc9
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2
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Improving the prediction of disease-related variants using protein three-dimensional structure, file e1dcb32e-9987-7715-e053-1705fe0a6cc9
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2
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WebRASP: A server for computing energy scores to assess the accuracy and stability of RNA 3D structures, file e1dcb32e-99f4-7715-e053-1705fe0a6cc9
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2
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SARA-Coffee web server, a tool for the computation of RNA sequence and structure multiple alignments, file e1dcb32e-99f8-7715-e053-1705fe0a6cc9
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2
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Phased whole-genome genetic risk in a family quartet using a major allele reference sequence, file e1dcb32e-9d83-7715-e053-1705fe0a6cc9
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2
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Collective judgment predicts disease-associated single nucleotide variants, file e1dcb32e-9efd-7715-e053-1705fe0a6cc9
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2
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CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods, file 0ea3890c-12d5-40f6-af2c-07125f4f36d3
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1
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CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods, file 0fef6b0e-df9b-4910-bc1a-af7da77fcf89
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1
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CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods, file 2dc5d7c4-3432-4c21-9f20-f5c98032805b
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1
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CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods, file 394e2a0e-d0fd-4b3f-bdcf-719580fcbb74
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1
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CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods, file 751959e2-09a8-4bcf-8d3d-ac5a0622a7f8
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1
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K-Pro: Kinetics Data on Proteins and Mutants, file 9d6e0f35-ead5-4968-a219-419721815c8f
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1
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CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods, file b3b6a5e1-ceb6-4459-bc36-ad98d2d8fa2c
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1
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Identification of Driver Epistatic Gene Pairs Combining Germline and Somatic Mutations in Cancer, file c23547f7-2b81-4293-9944-4ee96b855b77
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1
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CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods, file c3a9bd3f-eb2d-42b5-8e5f-9614fbca2313
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1
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CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods, file c8c610eb-e9a1-4515-ad9d-813dcc8ba016
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1
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The complex impact of cancer-related missense mutations on the stability and on the biophysical and biochemical properties of MAPK1 and MAPK3 somatic variants, file dc701465-3333-4e61-8faf-22d0f6b61687
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1
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A Shannon entropy-based filter detects high-quality profile-profile alignments in searches for remote homologues, file e1dcb32b-bff3-7715-e053-1705fe0a6cc9
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1
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I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure, file e1dcb32b-c097-7715-e053-1705fe0a6cc9
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1
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Predicting protein stability changes from sequences using Support Vector Machines, file e1dcb32b-c099-7715-e053-1705fe0a6cc9
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1
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Hierarchical mechanochemical switches in angiostatin, file e1dcb32b-c6ce-7715-e053-1705fe0a6cc9
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1
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The evaluation of protein folding rate constant is improved by predicting the folding kinetic order with a SVM-based method, file e1dcb32b-ced0-7715-e053-1705fe0a6cc9
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1
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A neural-network-based method for predicting protein stability changes upon single point mutations, file e1dcb32b-cf25-7715-e053-1705fe0a6cc9
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1
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Dynamics of the minimally frustrated helices determine the hierarchical folding of small helical proteins, file e1dcb32b-d0a7-7715-e053-1705fe0a6cc9
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1
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A three-state prediction of single point mutations on protein stability changes., file e1dcb32b-db5b-7715-e053-1705fe0a6cc9
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1
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Predicting the insurgence of human genetic diseases associated to single point protein mutations with Support Vector Machines and evolutionary information, file e1dcb32c-12ca-7715-e053-1705fe0a6cc9
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1
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K-Fold: a tool for the prediction of the protein folding kinetic order and rate, file e1dcb32c-15f0-7715-e053-1705fe0a6cc9
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1
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null, file e1dcb32c-61ce-7715-e053-1705fe0a6cc9
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1
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Are machine learning based methods suited to address complex biological problems? Lessons from CAGI-5 challenges, file e1dcb333-3ff6-7715-e053-1705fe0a6cc9
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1
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Evaluating the relevance of sequence conservation in the prediction of pathogenic missense variants, file e1dcb338-a15e-7715-e053-1705fe0a6cc9
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1
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| Totale |
1.411 |