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| 1 | BRIDGE: An Open-Label Phase II Trial Evaluating the Safety of Bevacizumab + Carboplatin/Paclitaxel as First-Line Treatment for Patients with Advanced, Previously Untreated, Squamous Non-small Cell Lung Cancer显示文摘 | John D. Hainsworth Liang Fang Jane E. Huang David Karlin Kenneth Russell Leonardo Faoro Christopher Azzoli | 2011 | Journal of Thoracic Oncology2011，，1： | 1 |
| 2 | 2013 ACCF/AHA Guideline for the Management of ST-Elevation Myocardial Infarction显示文摘 | Patrick T. O’Gara Frederick G. Kushner Deborah D. Ascheim Donald E. Casey Mina K. Chung James A. de Lemos Steven M. Ettinger James C. Fang Francis M. Fesmire Barry A. Franklin Christopher B. Granger Harlan M. Krumholz Jane A. Linderbaum David A. Morrow L. | 2013 | Journal of the American College of Cardiology2013，，： | 1 |
| 3 | Feasibility assessment of phenotyping cotton fiber maturity using infrared spectroscopy and algorithms for genotyping analyses显示文摘Background:Cotton fiber maturity is an important property that partially determines the processing and performance of cotton.Due to difficulties of obtaining fiber maturity values accurately from every plant of a genetic population,cotton geneticists often use micronaire(MIC) and/or lint percentage for classifying immature phenotypes from mature fiber phenotyp es although they are complex fiber traits.The recent development of an algorithm for determining cotton fiber maturity(MIR)from Fourier transform infrared(FT-IR)spectra explores a novel way to measure fiber maturity efficiently and accurately.However,the algorithm has not been tested with a genetic population consisting of a large number of progeny pla,nts.Results:The merits and limits of the MIC-or lint percentage-bas ed phenotyping method were demonstrated by comparing the observed phenotypes with the predicted phenotypes based on their DNA marker genotypes in a genetic population consisting of 708 F2 plants with various fiber maturity.The observed MIC-based fiber phenotypes matched to the predicted phenotypes better than the observed lint percenta ge-based fiber phenotypes.The lint percentage was obtained from each of F2 plants,whereas the MIC values were unable to be obtained from the entire population since certain F2 plants produced insufficient fiber mass for their measurements.To test the feasibiility of cotton fiber infrared maturity(MIR)as a viable phenotyping tool for genetic analyses,we me asured FT-IR spectra from the second population composed of 80 F2 plants with various fiber maturities,determined MIR values using the algorithms,and compared them with their genotypes in addition to other fiber phenotypes.The results showed that MIR values were successfully obtained from each of the F2 plants,and the observed MIR-based phenotypes fit well to the predicted phenotypes based on their DNA marker genotypes as well as the observed phenotypes based on a combination of MIC and lint percentage.Conclusions:The M,R value obtained from FT-IR spectra of cotton fibers is able to accurately assess fiber maturity of all plants of a population in a quantitative way.The technique provides an option for cotton geneticists to determine fiber maturity rapidly and efficiently. | KIM Hee Jin LIU Yongliang FANG David D. DELHOM Christopher D. | 2019 | Journal of Cotton Research2019，2，1： | 1 |
| 4 | A microsatellite-based genome-wide analysis of genetic diversity and linkage disequilibrium in Upland cotton ( Gossypium hirsutum L.) cultivars from major cotton-growing countries显示文摘 | David D. Fang Lori L. Hinze Richard G. Percy Ping Li Dewayne Deng Gregory Thyssen | 2013 | Euphytica2013，，3： | 1 |
| 5 | 2013 ACCF/AHA Guideline for the Management of ST-Elevation Myocardial Infarction显示文摘 | Patrick T. O’Gara Frederick G. Kushner Deborah D. Ascheim Donald E. Casey Mina K. Chung James A. de Lemos Steven M. Ettinger James C. Fang Francis M. Fesmire Barry A. Franklin Christopher B. Granger Harlan M. Krumholz Jane A. Linderbaum David A. Morrow L. | 2013 | Journal of the American College of Cardiology2013，，： | 1 |
| 6 | Pilocarpine-induced status epilepticus in mice: A comparison of spectral analysis of electroencephalogram and behavioral grading using the Racine scale显示文摘 | Kevin D. Phelan U.T. Shwe David K. Williams L. John Greenfield Fang Zheng | 2015 | Epilepsy Research2015，，： | 1 |
| 7 | Molecular characterization of the Gossypium Diversity Reference Set of the US National Cotton Germplasm Collection显示文摘 | Lori L. Hinze David D. Fang Michael A. Gore Brian E. Scheffler John Z. Yu James Frelichowski Richard G. Percy | 2015 | Theoretical and Applied Genetics2015，，2： | 1 |
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