Methods for copy number aberration detection from single-cell DNA-sequencing data by Mallory, Xian F, Edrisi, Mohammadamin, Navin, Nicholas, Nakhleh, Luay

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Assessing the performance of methods for copy number aberration detection from single-cell DNA sequencing data by Mallory, Xian F, Edrisi, Mohammadamin, Navin, Nicholas, Nakhleh, Luay

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Theoretical Analysis Reveals the Cost and Benefit of Proofreading in Coronavirus Genome Replication by Mallory, Joel D, Mallory, Xian F, Kolomeisky, Anatoly B, Igoshin, Oleg A

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Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities by Smith, William K., Dannenberg, Matthew P., Yan, Dong, Herrmann, Stefanie, Barnes, Mallory L., Barron-Gafford, Greg A., Biederman, Joel A., Ferrenberg, Scott, Fox, Andrew M., Hudson, Amy, Knowles, John F., MacBean, Natasha, Moore, David J.P., Nagler, Pamela L., Reed, Sasha C., Rutherford, William A., Scott, Russell L., Wang, Xian, Yang, Julia

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Exceptional heat and atmospheric dryness amplified losses of primary production during the 2020 U.S. Southwest hot drought by Dannenberg, Matthew P., Yan, Dong, Barnes, Mallory L., Smith, William K., Johnston, Miriam R., Scott, Russell L., Biederman, Joel A., Knowles, John F., Wang, Xian, Duman, Tomer, Litvak, Marcy E., Kimball, John S., Williams, A. Park, Zhang, Yao

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Fast and flexible analysis of direct dark matter search data with machine learning by Akerib, D. S., Alsum, S., Araújo, H. M., Bai, X., Balajthy, J., Bang, J., Baxter, A., Bernard, E. P., Bernstein, A., Biesiadzinski, T. P., Boulton, E. M., Boxer, B., Brás, P., Burdin, S., Byram, D., Carrara, N., Carmona-Benitez, M. C., Chan, C., Cutter, J. E., de Viveiros, L., Druszkiewicz, E., Ernst, J., Fan, A., Fiorucci, S., Gaitskell, R. J., Ghag, C., Gilchriese, M. G. D., Gwilliam, C., Hall, C. R., Haselschwardt, S. J., Hertel, S. A., Hogan, D. P., Horn, M., Huang, D. Q., Ignarra, C. M., Jacobsen, R. G., Jahangir, O., Ji, W., Kamdin, K., Kazkaz, K., Khaitan, D., Korolkova, E. V., Kravitz, S., Kudryavtsev, V. A., Leason, E., Lenardo, B. G., Lesko, K. T., Liao, J., Lin, J., Lindote, A., Lopes, M. I., Manalaysay, A., Mannino, R. L., Marangou, N., McKinsey, D. N., Mei, D.-M., Morad, J. A., Murphy, A. St. J., Naylor, A., Nehrkorn, C., Nelson, H. N., Neves, F., Nilima, A., Oliver-Mallory, K. C., Palladino, K. J., Rhyne, C., Riffard, Q., Rischbieter, G. R. C., Rossiter, P., Shaw, S., Shutt, T. A., Silva, C., Solmaz, M., Solovov, V. N., Sorensen, P., Sumner, T. J., Swanson, N., Szydagis, M., Taylor, D. J., Taylor, R., Taylor, W. C., Tennyson, B. P., Terman, P. A., Tiedt, D. R., To, W. H., Tvrznikova, L., Utku, U., Vacheret, A., Vaitkus, A., Velan, V., Webb, R. C., White, J. T., Whitis, T. J., Witherell, M. S., Wolfs, F. L. H., Woodward, D., Xian, X., Xu, J., Zhang, C.

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Fast and flexible analysis of direct dark matter search data with machine learning by Akerib, D.  S., Alsum, S., Araújo, H.  M., Bai, X., Balajthy, J., Bang, J., Baxter, A., Bernard, E.  P., Bernstein, A., Biesiadzinski, T.  P., Boulton, E.  M., Boxer, B., Brás, P., Burdin, S., Byram, D., Carrara, N., Carmona-Benitez, M.  C., Chan, C., Cutter, J.  E., de Viveiros, L., Druszkiewicz, E., Ernst, J., Fan, A., Fiorucci, S., Gaitskell, R.  J., Ghag, C., Gilchriese, M.  G. D., Gwilliam, C., Hall, C.  R., Haselschwardt, S.  J., Hertel, S.  A., Hogan, D.  P., Horn, M., Huang, D.  Q., Ignarra, C.  M., Jacobsen, R.  G., Jahangir, O., Ji, W., Kamdin, K., Kazkaz, K., Khaitan, D., Korolkova, E.  V., Kravitz, S., Kudryavtsev, V.  A., Leason, E., Lenardo, B.  G., Lesko, K.  T., Liao, J., Lin, J., Lindote, A., Lopes, M.  I., Manalaysay, A., Mannino, R.  L., Marangou, N., McKinsey, D.  N., Mei, D. -M., Morad, J.  A., Murphy, A.  St. J., Naylor, A., Nehrkorn, C., Nelson, H.  N., Neves, F., Nilima, A., Oliver-Mallory, K.  C., Palladino, K.  J., Rhyne, C., Riffard, Q., Rischbieter, G.  R. C., Rossiter, P., Shaw, S., Shutt, T.  A., Silva, C., Solmaz, M., Solovov, V.  N., Sorensen, P., Sumner, T.  J., Swanson, N., Szydagis, M., Taylor, D.  J., Taylor, R., Taylor, W.  C., Tennyson, B.  P., Terman, P.  A., Tiedt, D.  R., To, W.  H., Tvrznikova, L., Utku, U., Vacheret, A., Vaitkus, A., Velan, V., Webb, R.  C., White, J.  T., Whitis, T.  J., Witherell, M.  S., Wolfs, F.  L. H., Woodward, D., Xian, X., Xu, J., Zhang, C.

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Fast and Flexible Analysis of Direct Dark Matter Search Data with Machine Learning by LUX Collaboration, Akerib, D S, Alsum, S, Araújo, H M, Bai, X, Balajthy, J, Bang, J, Baxter, A, Bernard, E P, Bernstein, A, Biesiadzinski, T P, Boulton, E M, Boxer, B, Brás, P, Burdin, S, Byram, D, Carrara, N, Carmona-Benitez, M C, Chan, C, Cutter, J E, de Viveiros, L, Druszkiewicz, E, Ernst, J, Fan, A, Fiorucci, S, Gaitskell, R J, Ghag, C, Gilchriese, M G D, Gwilliam, C, Hall, C R, Haselschwardt, S J, Hertel, S A, Hogan, D P, Horn, M, Huang, D Q, Ignarra, C M, Jacobsen, R G, Jahangir, O, W Ji, Kamdin, K, Kazkaz, K, Khaitan, D, Korolkova, E V, Kravitz, S, Kudryavtsev, V A, Leason, E, Lenardo, B G, Lesko, K T, Liao, J, Lin, J, Lindote, A, Lopes, M I, Manalaysay, A, Mannino, R L, Marangou, N, McKinsey, D N, D -M Mei, Morad, J A, Murphy, A St J, Naylor, A, Nehrkorn, C, Nelson, H N, Neves, F, Nilima, A, Oliver-Mallory, K C, Palladino, K J, Rhyne, C, Riffard, Q, Rischbieter, G R C, Rossiter, P, Shaw, S, Shutt, T A, Silva, C, Solmaz, M, Solovov, V N, Sorensen, P, Sumner, T J, Swanson, N, Szydagis, M, Taylor, D J, Taylor, R, Taylor, W C, Tennyson, B P, Terman, P A, Tiedt, D R, To, W H, Tvrznikova, L, Utku, U, Vacheret, A, Vaitkus, A, Velan, V, Webb, R C, White, J T, Whitis, T J, Witherell, M S, Wolfs, F L H, Woodward, D, Xian, X, J Xu, Zhang, C

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