找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Immunoinformatics; Rajat K. De,Namrata Tomar Book 2014Latest edition Springer Science+Business Media New York 2014 Computational tools.Com

[復制鏈接]
樓主: Manipulate
21#
發(fā)表于 2025-3-25 05:47:26 | 只看該作者
Multiplex Peptide-Based B Cell Epitope Mappingmethods that are characterized by the simultaneous analysis of multiple peptides. In the first approach a microarray of overlapping synthetic peptides derived from an antigenic protein is used and the binding of the antibodies is analyzed by fluorescently labeled secondary antibodies. This method is
22#
發(fā)表于 2025-3-25 11:14:13 | 只看該作者
23#
發(fā)表于 2025-3-25 14:43:59 | 只看該作者
n of software components from component repositories and the development of components for these repositories requires an accessible information infrastructure that allows the description and comparison of these components..General knowledge relating to software development is equally important in t
24#
發(fā)表于 2025-3-25 15:54:21 | 只看該作者
25#
發(fā)表于 2025-3-25 21:41:51 | 只看該作者
26#
發(fā)表于 2025-3-26 04:01:11 | 只看該作者
Namrata Tomar,Rajat K. Delife sciences and physical sciences. The ability to continue to use big data to make new connections and discoveries will help to drive the breakthroughs of tomorrow. One of the most valuable means through which to make sense of big data, and thus make it more approachable to most people, is data vi
27#
發(fā)表于 2025-3-26 06:36:30 | 只看該作者
28#
發(fā)表于 2025-3-26 11:23:20 | 只看該作者
Marie-Paule Lefranclife sciences and physical sciences. The ability to continue to use big data to make new connections and discoveries will help to drive the breakthroughs of tomorrow. One of the most valuable means through which to make sense of big data, and thus make it more approachable to most people, is data vi
29#
發(fā)表于 2025-3-26 13:00:30 | 只看該作者
James Robinson,Jason A. Halliwell,Steven G. E. Marshatures a variety of applications in economics, environmental.This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, int
30#
發(fā)表于 2025-3-26 18:29:45 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-29 10:32
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復 返回頂部 返回列表
中山市| 三原县| 大名县| 商丘市| 常山县| 临沭县| 射洪县| 中牟县| 余姚市| 东宁县| 保定市| 马关县| 大石桥市| 涿州市| 汤阴县| 方山县| 阆中市| 上虞市| 工布江达县| 东安县| 滦平县| 手游| 石首市| 伊宁市| 山阴县| 普兰县| 灵宝市| 广汉市| 宽甸| 高唐县| 绥棱县| 苏尼特左旗| 大港区| 乐山市| 秭归县| 尤溪县| 永川市| 宁强县| 马鞍山市| 永昌县| 武清区|