| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/jbcb/FangDWL08 |
| P356 | DOI | 10.1142/S0219720008003345 |
| P698 | PubMed publication ID | 18324754 |
| P50 | author | Gerald H Lushington | Q76380391 |
| P2093 | author name string | Todd D Williams | |
| Jianwen Fang | |||
| Yinghua Dong | |||
| P2860 | cites work | Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests | Q22673963 |
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| Protein and peptide identification algorithms using MS for use in high-throughput, automated pipelines | Q28274876 | ||
| Comparing the polarities of the amino acids: side-chain distribution coefficients between the vapor phase, cyclohexane, 1-octanol, and neutral aqueous solution | Q29014511 | ||
| TANDEM: matching proteins with tandem mass spectra | Q29615238 | ||
| Analysis of membrane and surface protein sequences with the hydrophobic moment plot | Q29618183 | ||
| Role of accurate mass measurement (+/- 10 ppm) in protein identification strategies employing MS or MS/MS and database searching. | Q30744805 | ||
| The use of proteotypic peptide libraries for protein identification | Q30854911 | ||
| Support vector machines in HTS data mining: Type I MetAPs inhibition study | Q31029936 | ||
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| Qscore: an algorithm for evaluating SEQUEST database search results | Q44727403 | ||
| SILVER helps assign peptides to tandem mass spectra using intensity-based scoring. | Q45966789 | ||
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| A New Algorithm for the Evaluation of Shotgun Peptide Sequencing in Proteomics: Support Vector Machine Classification of Peptide MS/MS Spectra and SEQUEST Scores | Q45967022 | ||
| A computational method for assessing peptide- identification reliability in tandem mass spectrometry analysis with SEQUEST. | Q47866177 | ||
| Prediction of aqueous solubility and partition coefficient optimized by a genetic algorithm based descriptor selection method | Q47886757 | ||
| Computational prediction of proteotypic peptides for quantitative proteomics | Q51925913 | ||
| Mining a tandem mass spectrometry database to determine the trends and global factors influencing peptide fragmentation | Q52008068 | ||
| Recursive median partitioning for virtual screening of large databases | Q52023862 | ||
| An algorithm for protein secondary structure prediction based on class prediction | Q52591620 | ||
| Prediction of amyloid fibril-forming proteins | Q53239648 | ||
| Gene Selection for Cancer Classification using Support Vector Machines | Q56535529 | ||
| P433 | issue | 1 | |
| P921 | main subject | database | Q8513 |
| feature selection | Q446488 | ||
| P304 | page(s) | 223-240 | |
| P577 | publication date | 2008-02-01 | |
| P1433 | published in | Journal of Bioinformatics and Computational Biology | Q6294841 |
| P1476 | title | Feature selection in validating mass spectrometry database search results | |
| P478 | volume | 6 |
| Q33765227 | An improved machine learning protocol for the identification of correct Sequest search results |
| Q33467097 | Bioinformatic analysis of xenobiotic reactive metabolite target proteins and their interacting partners |
| Q33541894 | Detection and identification of potential biomarkers of breast cancer. |
| Q30898054 | Detection and identification of potential biomarkers of non-small cell lung cancer |
| Q33507152 | Discovery and identification of potential biomarkers of papillary thyroid carcinoma |
| Q30359799 | Improving the chances of successful protein structure determination with a random forest classifier |
| Q34450654 | PROTS-RF: A Robust Model for Predicting Mutation-Induced Protein Stability Changes |
| Q30408474 | Predicting residue–residue contacts using random forest models |
| Q30366792 | Random forest-based protein model quality assessment (RFMQA) using structural features and potential energy terms |
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